Warning: Permanently added '2620:52:3:1:dead:beef:cafe:c194' (ED25519) to the list of known hosts. Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-m2e3gt1o/R-CRAN-geeVerse/R-CRAN-geeVerse.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-m2e3gt1o/R-CRAN-geeVerse --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1731462413.044463 -r /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: mock.py version 5.9 starting (python version = 3.12.1, NVR = mock-5.9-1.fc39), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-m2e3gt1o/R-CRAN-geeVerse/R-CRAN-geeVerse.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-m2e3gt1o/R-CRAN-geeVerse --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1731462413.044463 -r /var/lib/copr-rpmbuild/results/configs/child.cfg Start: init plugins INFO: tmpfs initialized INFO: selinux enabled INFO: chroot_scan: initialized INFO: compress_logs: initialized Finish: init plugins INFO: Signal handler active Start: run INFO: Start(/var/lib/copr-rpmbuild/workspace/workdir-m2e3gt1o/R-CRAN-geeVerse/R-CRAN-geeVerse.spec) Config(fedora-40-x86_64) Start: clean chroot Finish: clean chroot Mock Version: 5.9 INFO: Mock Version: 5.9 Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-40-x86_64-1731462413.044463/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Package manager dnf5 detected and used (fallback) INFO: Buildroot is handled by package management from host and used with --installroot: rpm-4.19.1.1-1.fc39.x86_64 rpm-sequoia-1.6.0-1.fc39.x86_64 python3-dnf-4.21.1-1.fc39.noarch python3-dnf-plugins-core-4.9.0-1.fc39.noarch yum-4.21.1-1.fc39.noarch dnf5-5.1.17-2.fc39.x86_64 dnf5-plugins-5.1.17-2.fc39.x86_64 Start: installing minimal buildroot with dnf5 Updating and loading repositories: updates 100% | 1.0 MiB/s | 29.5 KiB | 00m00s fedora 100% | 978.0 KiB/s | 31.3 KiB | 00m00s Copr repository 100% | 10.3 KiB/s | 1.5 KiB | 00m00s Copr repository 100% | 32.2 MiB/s | 12.3 MiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing group/module packages: bash x86_64 5.2.26-3.fc40 fedora 8.1 MiB bzip2 x86_64 1.0.8-18.fc40 fedora 91.7 KiB coreutils x86_64 9.4-8.fc40 updates 5.8 MiB cpio x86_64 2.15-1.fc40 fedora 1.1 MiB diffutils x86_64 3.10-5.fc40 fedora 1.6 MiB fedora-release-common noarch 40-39 updates 19.1 KiB findutils x86_64 1:4.9.0-9.fc40 updates 1.5 MiB gawk x86_64 5.3.0-3.fc40 fedora 1.7 MiB glibc-minimal-langpack x86_64 2.39-22.fc40 updates 0.0 B grep x86_64 3.11-7.fc40 fedora 1.0 MiB gzip x86_64 1.13-1.fc40 fedora 385.0 KiB info x86_64 7.1-2.fc40 fedora 357.8 KiB patch x86_64 2.7.6-24.fc40 fedora 262.8 KiB redhat-rpm-config noarch 288-1.fc40 updates 185.2 KiB rpm-build x86_64 4.19.1.1-1.fc40 fedora 173.7 KiB sed x86_64 4.9-1.fc40 fedora 861.5 KiB shadow-utils x86_64 2:4.15.1-4.fc40 updates 4.1 MiB tar x86_64 2:1.35-3.fc40 fedora 2.9 MiB unzip x86_64 6.0-63.fc40 fedora 382.8 KiB util-linux x86_64 2.40.2-1.fc40 updates 3.7 MiB which x86_64 2.21-41.fc40 fedora 80.2 KiB xz x86_64 1:5.4.6-3.fc40 fedora 2.0 MiB Installing dependencies: alternatives x86_64 1.27-1.fc40 updates 66.3 KiB ansible-srpm-macros noarch 1-16.fc40 updates 35.7 KiB audit-libs x86_64 4.0.2-1.fc40 updates 327.4 KiB authselect x86_64 1.5.0-6.fc40 updates 153.6 KiB authselect-libs x86_64 1.5.0-6.fc40 updates 818.2 KiB basesystem noarch 11-20.fc40 fedora 0.0 B binutils x86_64 2.41-37.fc40 updates 26.4 MiB binutils-gold x86_64 2.41-37.fc40 updates 2.0 MiB bzip2-libs x86_64 1.0.8-18.fc40 fedora 80.7 KiB ca-certificates noarch 2024.2.69_v8.0.401-1.0.fc40 updates 2.4 MiB coreutils-common x86_64 9.4-8.fc40 updates 11.4 MiB cracklib x86_64 2.9.11-5.fc40 fedora 238.9 KiB crypto-policies noarch 20241011-1.git5930b9a.fc40 updates 158.0 KiB curl x86_64 8.6.0-10.fc40 updates 738.6 KiB cyrus-sasl-lib x86_64 2.1.28-19.fc40 fedora 2.3 MiB debugedit x86_64 5.0-18.fc40 updates 199.3 KiB dwz x86_64 0.15-8.fc40 updates 294.9 KiB ed x86_64 1.20.2-1.fc40 updates 146.9 KiB efi-srpm-macros noarch 5-11.fc40 fedora 40.1 KiB elfutils x86_64 0.192-4.fc40 updates 2.7 MiB elfutils-debuginfod-client x86_64 0.192-4.fc40 updates 76.1 KiB elfutils-default-yama-scope noarch 0.192-4.fc40 updates 1.8 KiB elfutils-libelf x86_64 0.192-4.fc40 updates 1.2 MiB elfutils-libs x86_64 0.192-4.fc40 updates 670.3 KiB fedora-gpg-keys noarch 40-2 updates 124.7 KiB fedora-release noarch 40-39 updates 0.0 B fedora-release-identity-basic noarch 40-39 updates 654.0 B fedora-repos noarch 40-2 updates 4.9 KiB file x86_64 5.45-4.fc40 fedora 103.5 KiB file-libs x86_64 5.45-4.fc40 fedora 9.9 MiB filesystem x86_64 3.18-8.fc40 fedora 106.0 B fonts-srpm-macros noarch 1:2.0.5-14.fc40 fedora 55.3 KiB forge-srpm-macros noarch 0.3.2-1.fc40 updates 39.0 KiB fpc-srpm-macros noarch 1.3-12.fc40 fedora 144.0 B gdb-minimal x86_64 15.2-2.fc40 updates 13.0 MiB gdbm x86_64 1:1.23-6.fc40 fedora 460.9 KiB gdbm-libs x86_64 1:1.23-6.fc40 fedora 121.9 KiB ghc-srpm-macros noarch 1.9.1-1.fc40 updates 747.0 B glibc x86_64 2.39-22.fc40 updates 6.6 MiB glibc-common x86_64 2.39-22.fc40 updates 1.0 MiB glibc-gconv-extra x86_64 2.39-22.fc40 updates 7.8 MiB gmp x86_64 1:6.2.1-8.fc40 fedora 794.6 KiB gnat-srpm-macros noarch 6-5.fc40 fedora 1.0 KiB go-srpm-macros noarch 3.5.0-1.fc40 fedora 60.6 KiB jansson x86_64 2.13.1-9.fc40 fedora 88.3 KiB json-c x86_64 0.17-3.fc40 fedora 82.4 KiB kernel-srpm-macros noarch 1.0-23.fc40 fedora 1.9 KiB keyutils-libs x86_64 1.6.3-3.fc40 fedora 54.4 KiB krb5-libs x86_64 1.21.3-1.fc40 updates 2.3 MiB libacl x86_64 2.3.2-1.fc40 fedora 40.0 KiB libarchive x86_64 3.7.2-7.fc40 updates 922.6 KiB libattr x86_64 2.5.2-3.fc40 fedora 28.5 KiB libblkid x86_64 2.40.2-1.fc40 updates 258.6 KiB libbrotli x86_64 1.1.0-3.fc40 fedora 829.5 KiB libcap x86_64 2.69-8.fc40 updates 219.8 KiB libcap-ng x86_64 0.8.4-4.fc40 fedora 73.1 KiB libcom_err x86_64 1.47.0-5.fc40 fedora 67.2 KiB libcurl x86_64 8.6.0-10.fc40 updates 776.8 KiB libeconf x86_64 0.6.2-2.fc40 updates 58.0 KiB libevent x86_64 2.1.12-12.fc40 fedora 895.6 KiB libfdisk x86_64 2.40.2-1.fc40 updates 362.9 KiB libffi x86_64 3.4.4-7.fc40 fedora 81.6 KiB libgcc x86_64 14.2.1-3.fc40 updates 274.6 KiB libgomp x86_64 14.2.1-3.fc40 updates 523.6 KiB libidn2 x86_64 2.3.7-1.fc40 fedora 329.1 KiB libmount x86_64 2.40.2-1.fc40 updates 355.8 KiB libnghttp2 x86_64 1.59.0-3.fc40 updates 166.1 KiB libnsl2 x86_64 2.0.1-1.fc40 fedora 57.9 KiB libpkgconf x86_64 2.1.1-2.fc40 updates 74.2 KiB libpsl x86_64 0.21.5-3.fc40 fedora 80.5 KiB libpwquality x86_64 1.4.5-9.fc40 fedora 417.8 KiB libselinux x86_64 3.7-5.fc40 updates 177.0 KiB libsemanage x86_64 3.7-2.fc40 updates 293.5 KiB libsepol x86_64 3.7-2.fc40 updates 817.9 KiB libsmartcols x86_64 2.40.2-1.fc40 updates 180.4 KiB libssh x86_64 0.10.6-5.fc40 fedora 509.3 KiB libssh-config noarch 0.10.6-5.fc40 fedora 277.0 B libstdc++ x86_64 14.2.1-3.fc40 updates 2.8 MiB libtasn1 x86_64 4.19.0-6.fc40 fedora 175.7 KiB libtirpc x86_64 1.3.6-0.fc40 updates 202.7 KiB libtool-ltdl x86_64 2.4.7-10.fc40 fedora 66.2 KiB libunistring x86_64 1.1-7.fc40 fedora 1.7 MiB libutempter x86_64 1.2.1-13.fc40 fedora 57.7 KiB libuuid x86_64 2.40.2-1.fc40 updates 37.5 KiB libverto x86_64 0.3.2-8.fc40 fedora 29.5 KiB libxcrypt x86_64 4.4.36-10.fc40 updates 267.5 KiB libxml2 x86_64 2.12.8-1.fc40 updates 1.7 MiB libzstd x86_64 1.5.6-1.fc40 updates 787.9 KiB lua-libs x86_64 5.4.6-5.fc40 fedora 281.1 KiB lua-srpm-macros noarch 1-13.fc40 fedora 1.3 KiB lz4-libs x86_64 1.9.4-6.fc40 fedora 129.4 KiB mpfr x86_64 4.2.1-4.fc40 updates 832.0 KiB ncurses-base noarch 6.4-12.20240127.fc40 fedora 326.2 KiB ncurses-libs x86_64 6.4-12.20240127.fc40 fedora 963.2 KiB ocaml-srpm-macros noarch 9-3.fc40 fedora 1.9 KiB openblas-srpm-macros noarch 2-16.fc40 fedora 104.0 B openldap x86_64 2.6.7-1.fc40 fedora 635.1 KiB openssl-libs x86_64 1:3.2.2-3.fc40 updates 7.8 MiB p11-kit x86_64 0.25.5-1.fc40 updates 2.2 MiB p11-kit-trust x86_64 0.25.5-1.fc40 updates 391.4 KiB package-notes-srpm-macros noarch 0.5-11.fc40 fedora 1.6 KiB pam x86_64 1.6.1-3.fc40 updates 1.8 MiB pam-libs x86_64 1.6.1-3.fc40 updates 135.0 KiB pcre2 x86_64 10.44-1.fc40 updates 653.5 KiB pcre2-syntax noarch 10.44-1.fc40 updates 251.6 KiB perl-srpm-macros noarch 1-53.fc40 fedora 861.0 B pkgconf x86_64 2.1.1-2.fc40 updates 82.9 KiB pkgconf-m4 noarch 2.1.1-2.fc40 updates 13.9 KiB pkgconf-pkg-config x86_64 2.1.1-2.fc40 updates 989.0 B popt x86_64 1.19-6.fc40 fedora 136.9 KiB publicsuffix-list-dafsa noarch 20240107-3.fc40 fedora 67.5 KiB pyproject-srpm-macros noarch 1.16.0-1.fc40 updates 1.9 KiB python-srpm-macros noarch 3.12-8.fc40 updates 50.6 KiB qt5-srpm-macros noarch 5.15.15-1.fc40 updates 500.0 B qt6-srpm-macros noarch 6.7.2-2.fc40 updates 456.0 B readline x86_64 8.2-8.fc40 fedora 489.2 KiB rpm x86_64 4.19.1.1-1.fc40 fedora 3.0 MiB rpm-build-libs x86_64 4.19.1.1-1.fc40 fedora 198.4 KiB rpm-libs x86_64 4.19.1.1-1.fc40 fedora 709.9 KiB rpm-sequoia x86_64 1.7.0-1.fc40 updates 2.4 MiB rust-srpm-macros noarch 26.3-1.fc40 updates 4.8 KiB setup noarch 2.14.5-2.fc40 fedora 720.4 KiB sqlite-libs x86_64 3.45.1-2.fc40 fedora 1.4 MiB systemd-libs x86_64 255.13-1.fc40 updates 1.9 MiB util-linux-core x86_64 2.40.2-1.fc40 updates 1.5 MiB xxhash-libs x86_64 0.8.2-4.fc40 updates 88.5 KiB xz-libs x86_64 1:5.4.6-3.fc40 fedora 209.8 KiB zig-srpm-macros noarch 1-2.fc40 fedora 1.1 KiB zip x86_64 3.0-40.fc40 fedora 703.2 KiB zlib-ng-compat x86_64 2.1.7-2.fc40 updates 134.0 KiB zstd x86_64 1.5.6-1.fc40 updates 1.7 MiB Installing groups: Buildsystem building group Transaction Summary: Installing: 153 packages Total size of inbound packages is 53 MiB. Need to download 0 B. After this operation 179 MiB will be used (install 179 MiB, remove 0 B). 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KiB | 00m00s >>> Running post-install scriptlet: p11-kit-trust-0:0.25.5-1.fc40.x86_64 >>> Stop post-install scriptlet: p11-kit-trust-0:0.25.5-1.fc40.x86_64 [ 77/155] Installing util-linux-core-0: 100% | 114.3 MiB/s | 1.5 MiB | 00m00s [ 78/155] Installing tar-2:1.35-3.fc40. 100% | 227.0 MiB/s | 3.0 MiB | 00m00s [ 79/155] Installing libsemanage-0:3.7- 100% | 96.1 MiB/s | 295.2 KiB | 00m00s [ 80/155] Installing shadow-utils-2:4.1 100% | 83.5 MiB/s | 4.2 MiB | 00m00s >>> Running pre-install scriptlet: libutempter-0:1.2.1-13.fc40.x86_64 >>> Stop pre-install scriptlet: libutempter-0:1.2.1-13.fc40.x86_64 [ 81/155] Installing libutempter-0:1.2. 100% | 19.4 MiB/s | 59.7 KiB | 00m00s [ 82/155] Installing zip-0:3.0-40.fc40. 100% | 138.1 MiB/s | 707.1 KiB | 00m00s [ 83/155] Installing gdbm-1:1.23-6.fc40 100% | 91.0 MiB/s | 465.8 KiB | 00m00s [ 84/155] Installing cyrus-sasl-lib-0:2 100% | 228.3 MiB/s | 2.3 MiB | 00m00s [ 85/155] Installing zstd-0:1.5.6-1.fc4 100% | 279.3 MiB/s | 1.7 MiB | 00m00s [ 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MiB/s | 525.0 KiB | 00m00s [ 97/155] Installing libpkgconf-0:2.1.1 100% | 73.5 MiB/s | 75.3 KiB | 00m00s [ 98/155] Installing pkgconf-0:2.1.1-2. 100% | 16.7 MiB/s | 85.4 KiB | 00m00s [ 99/155] Installing pkgconf-pkg-config 100% | 1.7 MiB/s | 1.8 KiB | 00m00s [100/155] Installing keyutils-libs-0:1. 100% | 54.5 MiB/s | 55.8 KiB | 00m00s [101/155] Installing libverto-0:0.3.2-8 100% | 30.5 MiB/s | 31.3 KiB | 00m00s [102/155] Installing xxhash-libs-0:0.8. 100% | 87.7 MiB/s | 89.9 KiB | 00m00s [103/155] Installing libbrotli-0:1.1.0- 100% | 203.1 MiB/s | 831.8 KiB | 00m00s [104/155] Installing libtool-ltdl-0:2.4 100% | 65.7 MiB/s | 67.3 KiB | 00m00s [105/155] Installing libnghttp2-0:1.59. 100% | 81.6 MiB/s | 167.2 KiB | 00m00s [106/155] Installing coreutils-common-0 100% | 260.5 MiB/s | 11.5 MiB | 00m00s [107/155] Installing openssl-libs-1:3.2 100% | 326.0 MiB/s | 7.8 MiB | 00m00s [108/155] Installing coreutils-0:9.4-8. 100% | 153.3 MiB/s | 5.8 MiB | 00m00s >>> Running pre-install scriptlet: ca-certificates-0:2024.2.69_v8.0.401-1.0.fc40 >>> Stop pre-install scriptlet: ca-certificates-0:2024.2.69_v8.0.401-1.0.fc40.no [109/155] Installing ca-certificates-0: 100% | 2.4 MiB/s | 2.4 MiB | 00m01s >>> Running post-install scriptlet: ca-certificates-0:2024.2.69_v8.0.401-1.0.fc4 >>> Stop post-install scriptlet: ca-certificates-0:2024.2.69_v8.0.401-1.0.fc40.n [110/155] Installing krb5-libs-0:1.21.3 100% | 176.9 MiB/s | 2.3 MiB | 00m00s [111/155] Installing libtirpc-0:1.3.6-0 100% | 99.9 MiB/s | 204.5 KiB | 00m00s [112/155] Installing gzip-0:1.13-1.fc40 100% | 127.1 MiB/s | 390.6 KiB | 00m00s [113/155] Installing authselect-libs-0: 100% | 90.4 MiB/s | 833.2 KiB | 00m00s [114/155] Installing libarchive-0:3.7.2 100% | 225.7 MiB/s | 924.5 KiB | 00m00s [115/155] Installing authselect-0:1.5.0 100% | 51.4 MiB/s | 157.9 KiB | 00m00s [116/155] Installing cracklib-0:2.9.11- 100% | 34.9 MiB/s | 250.3 KiB | 00m00s [117/155] Installing libpwquality-0:1.4 100% | 52.5 MiB/s | 430.1 KiB | 00m00s [118/155] Installing libnsl2-0:2.0.1-1. 100% | 28.8 MiB/s | 59.0 KiB | 00m00s [119/155] Installing pam-0:1.6.1-3.fc40 100% | 75.8 MiB/s | 1.8 MiB | 00m00s [120/155] Installing libssh-0:0.10.6-5. 100% | 166.5 MiB/s | 511.4 KiB | 00m00s [121/155] Installing rpm-sequoia-0:1.7. 100% | 263.1 MiB/s | 2.4 MiB | 00m00s [122/155] Installing rpm-libs-0:4.19.1. 100% | 173.7 MiB/s | 711.4 KiB | 00m00s [123/155] Installing libevent-0:2.1.12- 100% | 175.7 MiB/s | 899.4 KiB | 00m00s [124/155] Installing openldap-0:2.6.7-1 100% | 156.0 MiB/s | 638.9 KiB | 00m00s [125/155] Installing libcurl-0:8.6.0-10 100% | 189.9 MiB/s | 777.9 KiB | 00m00s [126/155] Installing elfutils-libs-0:0. 100% | 164.1 MiB/s | 672.1 KiB | 00m00s [127/155] Installing elfutils-debuginfo 100% | 25.5 MiB/s | 78.2 KiB | 00m00s [128/155] Installing binutils-0:2.41-37 100% | 275.1 MiB/s | 26.4 MiB | 00m00s >>> Running post-install scriptlet: binutils-0:2.41-37.fc40.x86_64 >>> Stop post-install scriptlet: binutils-0:2.41-37.fc40.x86_64 [129/155] Installing binutils-gold-0:2. 100% | 106.9 MiB/s | 2.0 MiB | 00m00s >>> Running post-install scriptlet: binutils-gold-0:2.41-37.fc40.x86_64 >>> Stop post-install scriptlet: binutils-gold-0:2.41-37.fc40.x86_64 [130/155] Installing elfutils-0:0.192-4 100% | 221.7 MiB/s | 2.7 MiB | 00m00s [131/155] Installing gdb-minimal-0:15.2 100% | 324.8 MiB/s | 13.0 MiB | 00m00s [132/155] Installing debugedit-0:5.0-18 100% | 98.6 MiB/s | 202.0 KiB | 00m00s [133/155] Installing rpm-build-libs-0:4 100% | 97.3 MiB/s | 199.2 KiB | 00m00s [134/155] Installing curl-0:8.6.0-10.fc 100% | 36.2 MiB/s | 740.9 KiB | 00m00s >>> Running pre-install scriptlet: rpm-0:4.19.1.1-1.fc40.x86_64 >>> Stop pre-install scriptlet: rpm-0:4.19.1.1-1.fc40.x86_64 [135/155] Installing rpm-0:4.19.1.1-1.f 100% | 85.6 MiB/s | 2.4 MiB | 00m00s [136/155] Installing efi-srpm-macros-0: 100% | 40.2 MiB/s | 41.2 KiB | 00m00s [137/155] Installing lua-srpm-macros-0: 100% | 1.9 MiB/s | 1.9 KiB | 00m00s [138/155] Installing zig-srpm-macros-0: 100% | 1.6 MiB/s | 1.7 KiB | 00m00s [139/155] Installing perl-srpm-macros-0 100% | 0.0 B/s | 1.1 KiB | 00m00s [140/155] Installing package-notes-srpm 100% | 0.0 B/s | 2.0 KiB | 00m00s [141/155] Installing openblas-srpm-macr 100% | 0.0 B/s | 384.0 B | 00m00s [142/155] Installing ocaml-srpm-macros- 100% | 0.0 B/s | 2.2 KiB | 00m00s [143/155] Installing kernel-srpm-macros 100% | 0.0 B/s | 2.3 KiB | 00m00s [144/155] Installing gnat-srpm-macros-0 100% | 0.0 B/s | 1.3 KiB | 00m00s [145/155] Installing fpc-srpm-macros-0: 100% | 0.0 B/s | 420.0 B | 00m00s [146/155] Installing fonts-srpm-macros- 100% | 55.1 MiB/s | 56.5 KiB | 00m00s [147/155] Installing go-srpm-macros-0:3 100% | 60.2 MiB/s | 61.6 KiB | 00m00s [148/155] Installing forge-srpm-macros- 100% | 39.4 MiB/s | 40.4 KiB | 00m00s [149/155] Installing python-srpm-macros 100% | 50.6 MiB/s | 51.8 KiB | 00m00s [150/155] Installing redhat-rpm-config- 100% | 62.5 MiB/s | 191.9 KiB | 00m00s [151/155] Installing rpm-build-0:4.19.1 100% | 44.4 MiB/s | 182.0 KiB | 00m00s [152/155] Installing pyproject-srpm-mac 100% | 1.2 MiB/s | 2.5 KiB | 00m00s [153/155] Installing util-linux-0:2.40. 100% | 91.4 MiB/s | 3.7 MiB | 00m00s >>> Running post-install scriptlet: util-linux-0:2.40.2-1.fc40.x86_64 >>> Stop post-install scriptlet: util-linux-0:2.40.2-1.fc40.x86_64 [154/155] Installing which-0:2.21-41.fc 100% | 40.3 MiB/s | 82.4 KiB | 00m00s [155/155] Installing info-0:7.1-2.fc40. 100% | 271.8 KiB/s | 358.2 KiB | 00m01s >>> Running post-transaction scriptlet: filesystem-0:3.18-8.fc40.x86_64 >>> Stop post-transaction scriptlet: filesystem-0:3.18-8.fc40.x86_64 >>> Running post-transaction scriptlet: ca-certificates-0:2024.2.69_v8.0.401-1.0 >>> Stop post-transaction scriptlet: ca-certificates-0:2024.2.69_v8.0.401-1.0.fc >>> Running post-transaction scriptlet: authselect-libs-0:1.5.0-6.fc40.x86_64 >>> Stop post-transaction scriptlet: authselect-libs-0:1.5.0-6.fc40.x86_64 >>> Running post-transaction scriptlet: rpm-0:4.19.1.1-1.fc40.x86_64 >>> Stop post-transaction scriptlet: rpm-0:4.19.1.1-1.fc40.x86_64 >>> Running trigger-install scriptlet: glibc-common-0:2.39-22.fc40.x86_64 >>> Stop trigger-install scriptlet: glibc-common-0:2.39-22.fc40.x86_64 >>> Running trigger-install scriptlet: info-0:7.1-2.fc40.x86_64 >>> Stop trigger-install scriptlet: info-0:7.1-2.fc40.x86_64 Finish: installing minimal buildroot with dnf5 Start: creating root cache Finish: creating root cache Finish: chroot init INFO: Installed packages: INFO: alternatives-1.27-1.fc40.x86_64 ansible-srpm-macros-1-16.fc40.noarch audit-libs-4.0.2-1.fc40.x86_64 authselect-1.5.0-6.fc40.x86_64 authselect-libs-1.5.0-6.fc40.x86_64 basesystem-11-20.fc40.noarch bash-5.2.26-3.fc40.x86_64 binutils-2.41-37.fc40.x86_64 binutils-gold-2.41-37.fc40.x86_64 bzip2-1.0.8-18.fc40.x86_64 bzip2-libs-1.0.8-18.fc40.x86_64 ca-certificates-2024.2.69_v8.0.401-1.0.fc40.noarch coreutils-9.4-8.fc40.x86_64 coreutils-common-9.4-8.fc40.x86_64 cpio-2.15-1.fc40.x86_64 cracklib-2.9.11-5.fc40.x86_64 crypto-policies-20241011-1.git5930b9a.fc40.noarch curl-8.6.0-10.fc40.x86_64 cyrus-sasl-lib-2.1.28-19.fc40.x86_64 debugedit-5.0-18.fc40.x86_64 diffutils-3.10-5.fc40.x86_64 dwz-0.15-8.fc40.x86_64 ed-1.20.2-1.fc40.x86_64 efi-srpm-macros-5-11.fc40.noarch elfutils-0.192-4.fc40.x86_64 elfutils-debuginfod-client-0.192-4.fc40.x86_64 elfutils-default-yama-scope-0.192-4.fc40.noarch elfutils-libelf-0.192-4.fc40.x86_64 elfutils-libs-0.192-4.fc40.x86_64 fedora-gpg-keys-40-2.noarch fedora-release-40-39.noarch fedora-release-common-40-39.noarch fedora-release-identity-basic-40-39.noarch fedora-repos-40-2.noarch file-5.45-4.fc40.x86_64 file-libs-5.45-4.fc40.x86_64 filesystem-3.18-8.fc40.x86_64 findutils-4.9.0-9.fc40.x86_64 fonts-srpm-macros-2.0.5-14.fc40.noarch forge-srpm-macros-0.3.2-1.fc40.noarch fpc-srpm-macros-1.3-12.fc40.noarch gawk-5.3.0-3.fc40.x86_64 gdb-minimal-15.2-2.fc40.x86_64 gdbm-1.23-6.fc40.x86_64 gdbm-libs-1.23-6.fc40.x86_64 ghc-srpm-macros-1.9.1-1.fc40.noarch glibc-2.39-22.fc40.x86_64 glibc-common-2.39-22.fc40.x86_64 glibc-gconv-extra-2.39-22.fc40.x86_64 glibc-minimal-langpack-2.39-22.fc40.x86_64 gmp-6.2.1-8.fc40.x86_64 gnat-srpm-macros-6-5.fc40.noarch go-srpm-macros-3.5.0-1.fc40.noarch gpg-pubkey-a15b79cc-63d04c2c grep-3.11-7.fc40.x86_64 gzip-1.13-1.fc40.x86_64 info-7.1-2.fc40.x86_64 jansson-2.13.1-9.fc40.x86_64 json-c-0.17-3.fc40.x86_64 kernel-srpm-macros-1.0-23.fc40.noarch keyutils-libs-1.6.3-3.fc40.x86_64 krb5-libs-1.21.3-1.fc40.x86_64 libacl-2.3.2-1.fc40.x86_64 libarchive-3.7.2-7.fc40.x86_64 libattr-2.5.2-3.fc40.x86_64 libblkid-2.40.2-1.fc40.x86_64 libbrotli-1.1.0-3.fc40.x86_64 libcap-2.69-8.fc40.x86_64 libcap-ng-0.8.4-4.fc40.x86_64 libcom_err-1.47.0-5.fc40.x86_64 libcurl-8.6.0-10.fc40.x86_64 libeconf-0.6.2-2.fc40.x86_64 libevent-2.1.12-12.fc40.x86_64 libfdisk-2.40.2-1.fc40.x86_64 libffi-3.4.4-7.fc40.x86_64 libgcc-14.2.1-3.fc40.x86_64 libgomp-14.2.1-3.fc40.x86_64 libidn2-2.3.7-1.fc40.x86_64 libmount-2.40.2-1.fc40.x86_64 libnghttp2-1.59.0-3.fc40.x86_64 libnsl2-2.0.1-1.fc40.x86_64 libpkgconf-2.1.1-2.fc40.x86_64 libpsl-0.21.5-3.fc40.x86_64 libpwquality-1.4.5-9.fc40.x86_64 libselinux-3.7-5.fc40.x86_64 libsemanage-3.7-2.fc40.x86_64 libsepol-3.7-2.fc40.x86_64 libsmartcols-2.40.2-1.fc40.x86_64 libssh-0.10.6-5.fc40.x86_64 libssh-config-0.10.6-5.fc40.noarch libstdc++-14.2.1-3.fc40.x86_64 libtasn1-4.19.0-6.fc40.x86_64 libtirpc-1.3.6-0.fc40.x86_64 libtool-ltdl-2.4.7-10.fc40.x86_64 libunistring-1.1-7.fc40.x86_64 libutempter-1.2.1-13.fc40.x86_64 libuuid-2.40.2-1.fc40.x86_64 libverto-0.3.2-8.fc40.x86_64 libxcrypt-4.4.36-10.fc40.x86_64 libxml2-2.12.8-1.fc40.x86_64 libzstd-1.5.6-1.fc40.x86_64 lua-libs-5.4.6-5.fc40.x86_64 lua-srpm-macros-1-13.fc40.noarch lz4-libs-1.9.4-6.fc40.x86_64 mpfr-4.2.1-4.fc40.x86_64 ncurses-base-6.4-12.20240127.fc40.noarch ncurses-libs-6.4-12.20240127.fc40.x86_64 ocaml-srpm-macros-9-3.fc40.noarch openblas-srpm-macros-2-16.fc40.noarch openldap-2.6.7-1.fc40.x86_64 openssl-libs-3.2.2-3.fc40.x86_64 p11-kit-0.25.5-1.fc40.x86_64 p11-kit-trust-0.25.5-1.fc40.x86_64 package-notes-srpm-macros-0.5-11.fc40.noarch pam-1.6.1-3.fc40.x86_64 pam-libs-1.6.1-3.fc40.x86_64 patch-2.7.6-24.fc40.x86_64 pcre2-10.44-1.fc40.x86_64 pcre2-syntax-10.44-1.fc40.noarch perl-srpm-macros-1-53.fc40.noarch pkgconf-2.1.1-2.fc40.x86_64 pkgconf-m4-2.1.1-2.fc40.noarch pkgconf-pkg-config-2.1.1-2.fc40.x86_64 popt-1.19-6.fc40.x86_64 publicsuffix-list-dafsa-20240107-3.fc40.noarch pyproject-srpm-macros-1.16.0-1.fc40.noarch python-srpm-macros-3.12-8.fc40.noarch qt5-srpm-macros-5.15.15-1.fc40.noarch qt6-srpm-macros-6.7.2-2.fc40.noarch readline-8.2-8.fc40.x86_64 redhat-rpm-config-288-1.fc40.noarch rpm-4.19.1.1-1.fc40.x86_64 rpm-build-4.19.1.1-1.fc40.x86_64 rpm-build-libs-4.19.1.1-1.fc40.x86_64 rpm-libs-4.19.1.1-1.fc40.x86_64 rpm-sequoia-1.7.0-1.fc40.x86_64 rust-srpm-macros-26.3-1.fc40.noarch sed-4.9-1.fc40.x86_64 setup-2.14.5-2.fc40.noarch shadow-utils-4.15.1-4.fc40.x86_64 sqlite-libs-3.45.1-2.fc40.x86_64 systemd-libs-255.13-1.fc40.x86_64 tar-1.35-3.fc40.x86_64 unzip-6.0-63.fc40.x86_64 util-linux-2.40.2-1.fc40.x86_64 util-linux-core-2.40.2-1.fc40.x86_64 which-2.21-41.fc40.x86_64 xxhash-libs-0.8.2-4.fc40.x86_64 xz-5.4.6-3.fc40.x86_64 xz-libs-5.4.6-3.fc40.x86_64 zig-srpm-macros-1-2.fc40.noarch zip-3.0-40.fc40.x86_64 zlib-ng-compat-2.1.7-2.fc40.x86_64 zstd-1.5.6-1.fc40.x86_64 Start: buildsrpm Start: rpmbuild -bs warning: source_date_epoch_from_changelog set but %changelog is missing Building target platforms: x86_64 Building for target x86_64 Wrote: /builddir/build/SRPMS/R-CRAN-geeVerse-0.2.2-1.fc40.copr8249501.src.rpm RPM build warnings: source_date_epoch_from_changelog set but %changelog is missing Finish: rpmbuild -bs INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-40-x86_64-1731462413.044463/root/var/log/dnf5.log INFO: chroot_scan: creating tarball /var/lib/copr-rpmbuild/results/chroot_scan.tar.gz /bin/tar: Removing leading `/' from member names Finish: buildsrpm INFO: Done(/var/lib/copr-rpmbuild/workspace/workdir-m2e3gt1o/R-CRAN-geeVerse/R-CRAN-geeVerse.spec) Config(child) 0 minutes 15 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot INFO: Start(/var/lib/copr-rpmbuild/results/R-CRAN-geeVerse-0.2.2-1.fc40.copr8249501.src.rpm) Config(fedora-40-x86_64) Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-40-x86_64-1731462413.044463/root. INFO: calling preinit hooks INFO: enabled root cache Start: unpacking root cache Finish: unpacking root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Buildroot is handled by package management from host and used with --installroot: rpm-4.19.1.1-1.fc39.x86_64 rpm-sequoia-1.6.0-1.fc39.x86_64 python3-dnf-4.21.1-1.fc39.noarch python3-dnf-plugins-core-4.9.0-1.fc39.noarch yum-4.21.1-1.fc39.noarch dnf5-5.1.17-2.fc39.x86_64 dnf5-plugins-5.1.17-2.fc39.x86_64 Finish: chroot init Start: build phase for R-CRAN-geeVerse-0.2.2-1.fc40.copr8249501.src.rpm Start: build setup for R-CRAN-geeVerse-0.2.2-1.fc40.copr8249501.src.rpm warning: source_date_epoch_from_changelog set but %changelog is missing Building target platforms: x86_64 Building for target x86_64 Wrote: /builddir/build/SRPMS/R-CRAN-geeVerse-0.2.2-1.fc40.copr8249501.src.rpm RPM build warnings: source_date_epoch_from_changelog set but %changelog is missing Updating and loading repositories: updates 100% | 982.3 KiB/s | 29.5 KiB | 00m00s fedora 100% | 1.0 MiB/s | 31.3 KiB | 00m00s Copr repository 100% | 27.5 KiB/s | 1.5 KiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing: R-CRAN-Rcpp x86_64 1.0.13.1-1.fc40.copr8204071 copr_base 8.4 MiB R-CRAN-RcppEigen x86_64 0.3.4.0.2-1.fc40.copr8100507 copr_base 9.0 MiB R-CRAN-doParallel noarch 1.0.17-1.fc40.copr7356118 copr_base 224.6 KiB R-CRAN-foreach noarch 1.5.2-1.fc40.copr7353650 copr_base 378.1 KiB R-CRAN-mvtnorm x86_64 1.3.2-1.fc40.copr8210719 copr_base 1.4 MiB R-CRAN-quantreg x86_64 5.99-1.fc40.copr8168054 copr_base 2.1 MiB R-devel x86_64 4.4.2-1.fc40 updates 0.0 B Installing dependencies: R-CRAN-MASS x86_64 7.3.61-1.fc40.copr7613806 copr_base 1.8 MiB R-CRAN-Matrix x86_64 1.7.1-1.fc40.copr8157422 copr_base 8.2 MiB R-CRAN-MatrixModels noarch 0.5.3-1.fc40.copr7356087 copr_base 520.9 KiB R-CRAN-SparseM x86_64 1.84.2-1.fc40.copr7745418 copr_base 1.6 MiB R-CRAN-codetools noarch 0.2.20-1.fc40.copr7352636 copr_base 106.3 KiB R-CRAN-iterators noarch 1.0.14-1.fc40.copr7350017 copr_base 438.6 KiB R-CRAN-lattice x86_64 0.22.6-1.fc40.copr7352639 copr_base 2.0 MiB R-CRAN-survival x86_64 3.7.0-1.fc40.copr7538174 copr_base 8.6 MiB R-core x86_64 4.4.2-1.fc40 updates 101.7 MiB R-core-devel x86_64 4.4.2-1.fc40 updates 395.8 KiB R-java x86_64 4.4.2-1.fc40 updates 0.0 B R-java-devel x86_64 4.4.2-1.fc40 updates 0.0 B R-littler x86_64 0.3.19-4.fc40 updates 157.9 KiB R-rpm-macros noarch 1.2.1-10.fc40 updates 5.6 KiB abattis-cantarell-vf-fonts noarch 0.301-12.fc40 fedora 192.7 KiB alsa-lib x86_64 1.2.12-1.fc40 updates 1.4 MiB annobin-docs noarch 12.60-1.fc40 updates 96.2 KiB annobin-plugin-gcc x86_64 12.60-1.fc40 updates 976.2 KiB avahi-libs x86_64 0.8-26.fc40 fedora 166.3 KiB brotli x86_64 1.1.0-3.fc40 fedora 31.8 KiB brotli-devel x86_64 1.1.0-3.fc40 fedora 65.6 KiB bzip2-devel x86_64 1.0.8-18.fc40 fedora 309.8 KiB cairo x86_64 1.18.0-3.fc40 fedora 1.7 MiB cairo-devel x86_64 1.18.0-3.fc40 fedora 2.3 MiB cmake-filesystem x86_64 3.30.5-1.fc40 updates 0.0 B copy-jdk-configs noarch 4.1-5.fc40 fedora 20.3 KiB cpp x86_64 14.2.1-3.fc40 updates 35.0 MiB crypto-policies-scripts noarch 20241011-1.git5930b9a.fc40 updates 353.5 KiB cups-libs x86_64 1:2.4.11-1.fc40 updates 622.9 KiB dbus-libs x86_64 1:1.14.10-3.fc40 fedora 368.9 KiB default-fonts-core-sans noarch 4.0-13.fc40 updates 11.9 KiB desktop-file-utils x86_64 0.26-12.fc40 fedora 226.0 KiB emacs-filesystem noarch 1:29.4-9.fc40 updates 0.0 B expat x86_64 2.6.3-1.fc40 updates 287.5 KiB flexiblas x86_64 3.4.4-1.fc40 updates 48.5 KiB flexiblas-devel x86_64 3.4.4-1.fc40 updates 4.7 MiB flexiblas-netlib x86_64 3.4.4-1.fc40 updates 10.6 MiB flexiblas-netlib64 x86_64 3.4.4-1.fc40 updates 10.7 MiB flexiblas-openblas-openmp x86_64 3.4.4-1.fc40 updates 39.3 KiB flexiblas-openblas-openmp64 x86_64 3.4.4-1.fc40 updates 39.3 KiB fontconfig x86_64 2.15.0-6.fc40 updates 768.0 KiB fontconfig-devel x86_64 2.15.0-6.fc40 updates 117.2 KiB fonts-filesystem noarch 1:2.0.5-14.fc40 fedora 0.0 B freetype x86_64 2.13.2-5.fc40 fedora 842.6 KiB freetype-devel x86_64 2.13.2-5.fc40 fedora 7.8 MiB fribidi x86_64 1.0.14-2.fc40 updates 367.6 KiB gc x86_64 8.2.2-6.fc40 fedora 258.7 KiB gcc x86_64 14.2.1-3.fc40 updates 104.3 MiB gcc-c++ x86_64 14.2.1-3.fc40 updates 38.2 MiB gcc-gfortran x86_64 14.2.1-3.fc40 updates 37.2 MiB gcc-plugin-annobin x86_64 14.2.1-3.fc40 updates 57.1 KiB gettext x86_64 0.22.5-4.fc40 updates 5.2 MiB gettext-envsubst x86_64 0.22.5-4.fc40 updates 74.9 KiB gettext-libs x86_64 0.22.5-4.fc40 updates 1.7 MiB gettext-runtime x86_64 0.22.5-4.fc40 updates 481.3 KiB glib2 x86_64 2.80.3-1.fc40 updates 14.6 MiB glib2-devel x86_64 2.80.3-1.fc40 updates 15.6 MiB glibc-devel x86_64 2.39-22.fc40 updates 35.8 KiB glibc-headers-x86 noarch 2.39-22.fc40 updates 2.2 MiB gnutls x86_64 3.8.6-1.fc40 updates 3.2 MiB google-noto-fonts-common noarch 20240301-2.fc40 fedora 17.5 KiB google-noto-sans-vf-fonts noarch 20240301-2.fc40 fedora 1.2 MiB graphite2 x86_64 1.3.14-15.fc40 fedora 192.0 KiB graphite2-devel x86_64 1.3.14-15.fc40 fedora 49.1 KiB guile30 x86_64 3.0.7-12.fc40 fedora 51.5 MiB harfbuzz x86_64 8.5.0-1.fc40 updates 2.7 MiB harfbuzz-devel x86_64 8.5.0-1.fc40 updates 5.1 MiB harfbuzz-icu x86_64 8.5.0-1.fc40 updates 15.5 KiB java-21-openjdk x86_64 1:21.0.5.0.11-1.fc40 updates 1.1 MiB java-21-openjdk-devel x86_64 1:21.0.5.0.11-1.fc40 updates 11.2 MiB java-21-openjdk-headless x86_64 1:21.0.5.0.11-1.fc40 updates 203.9 MiB javapackages-filesystem noarch 6.2.0-9.fc40 fedora 1.9 KiB jbigkit-libs x86_64 2.1-29.fc40 fedora 117.6 KiB kernel-headers x86_64 6.11.3-200.fc40 updates 6.4 MiB less x86_64 643-6.fc40 updates 372.6 KiB libICE x86_64 1.1.1-3.fc40 fedora 181.2 KiB libRmath x86_64 4.4.2-1.fc40 updates 246.8 KiB libRmath-devel x86_64 4.4.2-1.fc40 updates 17.4 KiB libSM x86_64 1.2.4-3.fc40 fedora 97.3 KiB libX11 x86_64 1.8.10-2.fc40 updates 1.3 MiB libX11-common noarch 1.8.10-2.fc40 updates 1.1 MiB libX11-devel x86_64 1.8.10-2.fc40 updates 1.0 MiB libX11-xcb x86_64 1.8.10-2.fc40 updates 15.0 KiB libXau x86_64 1.0.11-6.fc40 fedora 66.9 KiB libXau-devel x86_64 1.0.11-6.fc40 fedora 6.4 KiB libXcomposite x86_64 0.4.6-3.fc40 fedora 44.5 KiB libXext x86_64 1.3.6-1.fc40 fedora 90.1 KiB libXext-devel x86_64 1.3.6-1.fc40 fedora 98.9 KiB libXft x86_64 2.3.8-6.fc40 fedora 164.5 KiB libXft-devel x86_64 2.3.8-6.fc40 fedora 31.7 KiB libXi x86_64 1.8.2-1.fc40 updates 80.7 KiB libXmu x86_64 1.2.1-1.fc40 updates 187.5 KiB libXrender x86_64 0.9.11-6.fc40 fedora 50.1 KiB libXrender-devel x86_64 0.9.11-6.fc40 fedora 50.1 KiB libXt x86_64 1.3.0-3.fc40 fedora 425.9 KiB libXtst x86_64 1.2.5-1.fc40 updates 33.6 KiB libb2 x86_64 0.98.1-11.fc40 fedora 42.2 KiB libblkid-devel x86_64 2.40.2-1.fc40 updates 44.9 KiB libdatrie x86_64 0.2.13-9.fc40 fedora 57.9 KiB libdeflate x86_64 1.22-2.fc40 updates 118.1 KiB libdeflate-devel x86_64 1.22-2.fc40 updates 25.7 KiB libffi-devel x86_64 3.4.4-7.fc40 fedora 33.3 KiB libfontenc x86_64 1.1.7-3.fc40 fedora 65.0 KiB libgfortran x86_64 14.2.1-3.fc40 updates 3.0 MiB libicu x86_64 74.2-1.fc40 fedora 34.9 MiB libicu-devel x86_64 74.2-1.fc40 fedora 5.6 MiB libjpeg-turbo x86_64 3.0.2-1.fc40 fedora 776.9 KiB liblerc x86_64 4.0.0-6.fc40 fedora 603.5 KiB libmount-devel x86_64 2.40.2-1.fc40 updates 63.5 KiB libmpc x86_64 1.3.1-5.fc40 fedora 164.7 KiB libpng x86_64 2:1.6.40-3.fc40 fedora 241.8 KiB libpng-devel x86_64 2:1.6.40-3.fc40 fedora 881.5 KiB libquadmath x86_64 14.2.1-3.fc40 updates 325.9 KiB libquadmath-devel x86_64 14.2.1-3.fc40 updates 21.9 KiB libselinux-devel x86_64 3.7-5.fc40 updates 126.4 KiB libsepol-devel x86_64 3.7-2.fc40 updates 120.3 KiB libstdc++-devel x86_64 14.2.1-3.fc40 updates 15.4 MiB libtextstyle x86_64 0.22.5-4.fc40 updates 195.6 KiB libthai x86_64 0.1.29-8.fc40 fedora 783.5 KiB libtiff x86_64 4.6.0-5.fc40.1 updates 1.1 MiB libtirpc-devel x86_64 1.3.6-0.fc40 updates 251.6 KiB libwebp x86_64 1.3.2-5.fc40 fedora 793.6 KiB libxcb x86_64 1.17.0-2.fc40 updates 1.1 MiB libxcb-devel x86_64 1.17.0-2.fc40 updates 2.7 MiB libxcrypt-devel x86_64 4.4.36-10.fc40 updates 30.5 KiB libxml2-devel x86_64 2.12.8-1.fc40 updates 3.4 MiB lksctp-tools x86_64 1.0.19-6.fc40 fedora 269.6 KiB lua x86_64 5.4.6-5.fc40 fedora 597.8 KiB lua-posix x86_64 36.2.1-6.fc40 fedora 599.7 KiB make x86_64 1:4.4.1-6.fc40 fedora 1.8 MiB mkfontscale x86_64 1.2.2-6.fc40 fedora 49.2 KiB mpdecimal x86_64 2.5.1-9.fc40 fedora 200.9 KiB nettle x86_64 3.9.1-6.fc40 fedora 790.1 KiB nspr x86_64 4.35.0-30.fc40 updates 316.4 KiB nss x86_64 3.105.0-1.fc40 updates 1.9 MiB nss-softokn x86_64 3.105.0-1.fc40 updates 1.9 MiB nss-softokn-freebl x86_64 3.105.0-1.fc40 updates 869.2 KiB nss-sysinit x86_64 3.105.0-1.fc40 updates 18.2 KiB nss-util x86_64 3.105.0-1.fc40 updates 230.2 KiB openblas x86_64 0.3.26-4.fc40 fedora 96.0 KiB openblas-openmp x86_64 0.3.26-4.fc40 fedora 38.9 MiB openblas-openmp64 x86_64 0.3.26-4.fc40 fedora 39.1 MiB pango x86_64 1.54.0-1.fc40 updates 996.2 KiB pcre2-devel x86_64 10.44-1.fc40 updates 2.0 MiB pcre2-utf16 x86_64 10.44-1.fc40 updates 590.0 KiB pcre2-utf32 x86_64 10.44-1.fc40 updates 562.0 KiB pixman x86_64 0.43.4-1.fc40 updates 710.1 KiB pixman-devel x86_64 0.43.4-1.fc40 updates 49.4 KiB python-pip-wheel noarch 23.3.2-2.fc40 updates 1.5 MiB python3 x86_64 3.12.7-1.fc40 updates 31.5 KiB python3-libs x86_64 3.12.7-1.fc40 updates 41.2 MiB python3-packaging noarch 23.2-4.fc40 fedora 421.1 KiB sysprof-capture-devel x86_64 46.0-1.fc40 fedora 252.8 KiB tcl x86_64 1:8.6.13-2.fc40 fedora 4.2 MiB tcl-devel x86_64 1:8.6.13-2.fc40 fedora 809.0 KiB tk x86_64 1:8.6.13-3.fc40 fedora 3.6 MiB tk-devel x86_64 1:8.6.13-3.fc40 fedora 983.9 KiB tre x86_64 0.8.0-43.20140228gitc2f5d13.fc40 fedora 75.9 KiB tre-common noarch 0.8.0-43.20140228gitc2f5d13.fc40 fedora 81.0 KiB tre-devel x86_64 0.8.0-43.20140228gitc2f5d13.fc40 fedora 10.7 KiB ttmkfdir x86_64 3.0.9-70.fc40 fedora 122.7 KiB tzdata noarch 2024a-5.fc40 updates 1.6 MiB tzdata-java noarch 2024a-5.fc40 updates 101.7 KiB xdg-utils noarch 1.2.1-1.fc40 fedora 346.3 KiB xml-common noarch 0.6.3-63.fc40 fedora 78.4 KiB xorg-x11-fonts-Type1 noarch 7.5-38.fc40 fedora 863.3 KiB xorg-x11-proto-devel noarch 2024.1-2.fc40 updates 1.7 MiB xz-devel x86_64 1:5.4.6-3.fc40 fedora 255.8 KiB zlib-ng-compat-devel x86_64 2.1.7-2.fc40 updates 106.8 KiB Transaction Summary: Installing: 176 packages Total size of inbound packages is 302 MiB. Need to download 20 MiB. After this operation 963 MiB will be used (install 963 MiB, remove 0 B). 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Finish: build setup for R-CRAN-geeVerse-0.2.2-1.fc40.copr8249501.src.rpm Start: rpmbuild R-CRAN-geeVerse-0.2.2-1.fc40.copr8249501.src.rpm warning: source_date_epoch_from_changelog set but %changelog is missing Building target platforms: x86_64 Building for target x86_64 Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.MJPqmn + umask 022 + cd /builddir/build/BUILD + cd /builddir/build/BUILD + rm -rf geeVerse + /usr/bin/mkdir -p geeVerse + cd geeVerse + /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/geeVerse_0.2.2.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + rm -rf /builddir/build/BUILD/geeVerse-SPECPARTS + /usr/bin/mkdir -p /builddir/build/BUILD/geeVerse-SPECPARTS + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w . + find -type f -executable -exec grep -Iq . '{}' ';' -exec sed -i -e '$a\' '{}' ';' + '[' -d geeVerse/src ']' + find geeVerse/src -type f -exec sed -i s@/usr/bin/strip@/usr/bin/true@g '{}' ';' + '[' -d geeVerse/src ']' + find 'geeVerse/src/Make*' -type f -exec sed -i s@-g0@@g '{}' ';' find: ‘geeVerse/src/Make*’: No such file or directory + true + find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' '{}' ';' + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.To1j19 + umask 022 + cd /builddir/build/BUILD + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd geeVerse + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.4uz0Dh + umask 022 + cd /builddir/build/BUILD + '[' /builddir/build/BUILDROOT/R-CRAN-geeVerse-0.2.2-1.fc40.copr8249501.x86_64 '!=' / ']' + rm -rf /builddir/build/BUILDROOT/R-CRAN-geeVerse-0.2.2-1.fc40.copr8249501.x86_64 ++ dirname /builddir/build/BUILDROOT/R-CRAN-geeVerse-0.2.2-1.fc40.copr8249501.x86_64 + mkdir -p /builddir/build/BUILDROOT + mkdir /builddir/build/BUILDROOT/R-CRAN-geeVerse-0.2.2-1.fc40.copr8249501.x86_64 + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd geeVerse + mkdir -p /builddir/build/BUILDROOT/R-CRAN-geeVerse-0.2.2-1.fc40.copr8249501.x86_64/usr/local/lib/R/library + /usr/bin/R CMD INSTALL -l /builddir/build/BUILDROOT/R-CRAN-geeVerse-0.2.2-1.fc40.copr8249501.x86_64/usr/local/lib/R/library geeVerse * installing *source* package ‘geeVerse’ ... ** package ‘geeVerse’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++ (GCC) 14.2.1 20240912 (Red Hat 14.2.1-3)’ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c RcppExports.cpp -o RcppExports.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c geninv.cpp -o geninv.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from geninv.cpp:2: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits > >’ 18 | struct traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ geninv.cpp:25:34: required from here 25 | const Eigen::Map G(as >(GG)); | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ geninv.cpp:25:34: required from here 25 | const Eigen::Map G(as >(GG)); | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ geninv.cpp:25:34: required from here 25 | const Eigen::Map G(as >(GG)); | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ geninv.cpp:39:26: required from here 39 | A = G * G.transpose(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Map >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Map >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ geninv.cpp:41:27: required from here 41 | A = G.transpose() * G; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ geninv.cpp:49:16: required from here 49 | L.block(k, r - 1, mn - k, 1) = A.block(k, k, mn - k, 1); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ geninv.cpp:52:79: required from here 52 | L.block(k, 0, mn - k, r - 1) * L.block(k, 0, 1, r - 1).adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ geninv.cpp:52:80: required from here 52 | L.block(k, 0, mn - k, r - 1) * L.block(k, 0, 1, r - 1).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ geninv.cpp:52:80: required from here 52 | L.block(k, 0, mn - k, r - 1) * L.block(k, 0, 1, r - 1).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ geninv.cpp:56:64: required from here 56 | L.block(k, r - 1, 1, 1) = L.block(k, r - 1, 1, 1).array().sqrt(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1, false> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, -1, false> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, -1, false> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ geninv.cpp:56:71: required from here 56 | L.block(k, r - 1, 1, 1) = L.block(k, r - 1, 1, 1).array().sqrt(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ geninv.cpp:58:99: required from here 58 | L.block(k + 1, r - 1, mn - k - 1, 1) = L.block(k + 1, r - 1, mn - k - 1, 1) / L(k, r - 1); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ geninv.cpp:58:99: required from here 58 | L.block(k + 1, r - 1, mn - k - 1, 1) = L.block(k + 1, r - 1, mn - k - 1, 1) / L(k, r - 1); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ geninv.cpp:67:21: required from here 67 | M = (M.transpose() * M).inverse(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ geninv.cpp:67:26: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ 68 | class InverseImpl | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ geninv.cpp:67:36: required from here 67 | M = (M.transpose() * M).inverse(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ geninv.cpp:72:44: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ geninv.cpp:72:48: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ geninv.cpp:72:52: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ geninv.cpp:74:34: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ geninv.cpp:74:38: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ geninv.cpp:74:71: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ geninv.cpp:33:40: required from here 33 | MatrixXd L(MatrixXd(mn, mn).setZero()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Matrix; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 851 | call_assignment_no_alias(dst, tmp, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ geninv.cpp:52:80: required from here 52 | L.block(k, 0, mn - k, r - 1) * L.block(k, 0, 1, r - 1).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::SolverStorage>’ 68 | class InverseImpl | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block > >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block > >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block > >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block > >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block > >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block > >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval > >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, const Eigen::Block > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, Eigen::Transpose > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, false>, Eigen::Transpose > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, false>, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, false>, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, false>, Eigen::Transpose > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, const Eigen::Block >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, const Eigen::Block >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, const Eigen::Block >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, const Eigen::Block >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, const Eigen::Block >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:41:27: required from here 41 | A = G.transpose() * G; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:41:27: required from here 41 | A = G.transpose() * G; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl > >, const Eigen::Block >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:41:27: required from here 41 | A = G.transpose() * G; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, Eigen::Map >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, 1, -1, true>, Eigen::Map >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, 1, -1, true>, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, 1, -1, true>, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:41:27: required from here 41 | A = G.transpose() * G; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:41:27: required from here 41 | A = G.transpose() * G; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval > >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl > >, 1, -1, true>, Eigen::Map >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:41:27: required from here 41 | A = G.transpose() * G; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:30: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false> >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, -1, -1, false> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, -1, -1, false> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, -1, -1, false> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, -1, -1, false> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, const Eigen::Block > >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, const Eigen::Block > >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, const Eigen::Block > >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, const Eigen::Block > >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, const Eigen::Block > >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, const Eigen::Block > >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, Eigen::Transpose > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, Eigen::Transpose > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, Eigen::Transpose > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Rhs = Eigen::Transpose > >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Map >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Map >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Map >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Map >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Map >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Map >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:41:27: required from here 41 | A = G.transpose() * G; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:41:27: required from here 41 | A = G.transpose() * G; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:41:27: required from here 41 | A = G.transpose() * G; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ geninv.cpp:52:80: required from here 52 | L.block(k, 0, mn - k, r - 1) * L.block(k, 0, 1, r - 1).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ geninv.cpp:52:80: required from here 52 | L.block(k, 0, mn - k, r - 1) * L.block(k, 0, 1, r - 1).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ geninv.cpp:52:80: required from here 52 | L.block(k, 0, mn - k, r - 1) * L.block(k, 0, 1, r - 1).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ geninv.cpp:52:80: required from here 52 | L.block(k, 0, mn - k, r - 1) * L.block(k, 0, 1, r - 1).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, 1, -1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map >; Rhs = Eigen::Block > >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Map >; Rhs = const Eigen::Block > >, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map >; Rhs = Eigen::Block > >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Map >; Rhs = const Eigen::Block > >, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map >; Rhs = Eigen::Block > >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Map >; Rhs = const Eigen::Block > >, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map >; Rhs = Eigen::Block > >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:41:27: required from here 41 | A = G.transpose() * G; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:41:27: required from here 41 | A = G.transpose() * G; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:41:27: required from here 41 | A = G.transpose() * G; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ geninv.cpp:52:80: required from here 52 | L.block(k, 0, mn - k, r - 1) * L.block(k, 0, 1, r - 1).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ geninv.cpp:52:80: required from here 52 | L.block(k, 0, mn - k, r - 1) * L.block(k, 0, 1, r - 1).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 463 | BlockType A_0 = lu.block(0,0,rows,k); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:587:60: required from ‘static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename DstXprType::Scalar = double; typename Eigen::PartialPivLU::Scalar = double]’ 587 | dst = src.nestedExpression().solve(MatrixType::Identity(src.rows(), src.cols())); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:587:39: required from ‘static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename DstXprType::Scalar = double; typename Eigen::PartialPivLU::Scalar = double]’ 587 | dst = src.nestedExpression().solve(MatrixType::Identity(src.rows(), src.cols())); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>; U = Eigen::Block > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:147:40: required from ‘void Eigen::internal::evaluateProductBlockingSizesHeuristic(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’ 147 | typedef typename Traits::ResScalar ResScalar; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:342:81: required from ‘void Eigen::internal::computeProductBlockingSizes(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’ 342 | evaluateProductBlockingSizesHeuristic(k, m, n, num_threads); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:355:66: required from ‘Eigen::internal::gemm_blocking_space::gemm_blocking_space(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, bool) [with int StorageOrder = 0; _LhsScalar = double; _RhsScalar = double; int MaxRows = -1; int MaxCols = -1; int MaxDepth = -1; int KcFactor = 1; Eigen::Index = long int]’ 355 | computeProductBlockingSizes(this->m_kc, this->m_mc, this->m_nc, num_threads); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:507:18: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; Scalar = double]’ 507 | BlockingType blocking(dst.rows(), dst.cols(), lhs.cols(), 1, true); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 81 | gemm_pack_rhs pack_rhs; | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Map >, Eigen::Transpose > >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 82 | gebp_kernel gebp; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Map >, Eigen::Transpose > >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 82 | gebp_kernel gebp; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Map >, Eigen::Transpose > >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:41:27: required from here 41 | A = G.transpose() * G; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:41:27: required from here 41 | A = G.transpose() * G; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:41:27: required from here 41 | A = G.transpose() * G; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:41:27: required from here 41 | A = G.transpose() * G; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ geninv.cpp:52:80: required from here 52 | L.block(k, 0, mn - k, r - 1) * L.block(k, 0, 1, r - 1).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 377 | = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1, false> >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1, false> >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>; U = Eigen::Block > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>; U = Eigen::Block > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 2, Eigen::Stride<0, 0> >; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 2, Eigen::Stride<0, 0> >]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:278:57: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 184 | pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Map >, Eigen::Transpose > >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:198:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 198 | gebp(res.getSubMapper(i2, j2), blockA, blockB, actual_mc, actual_kc, actual_nc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Map >, Eigen::Transpose > >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 184 | pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose > >, Eigen::Map >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:41:27: required from here 41 | A = G.transpose() * G; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 195 | pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose > >, Eigen::Map >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:41:27: required from here 41 | A = G.transpose() * G; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ geninv.cpp:52:80: required from here 52 | L.block(k, 0, mn - k, r - 1) * L.block(k, 0, 1, r - 1).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ geninv.cpp:52:80: required from here 52 | L.block(k, 0, mn - k, r - 1) * L.block(k, 0, 1, r - 1).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1, false> >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ geninv.cpp:52:80: required from here 52 | L.block(k, 0, mn - k, r - 1) * L.block(k, 0, 1, r - 1).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:41:27: required from here 41 | A = G.transpose() * G; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:41:27: required from here 41 | A = G.transpose() * G; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:41:27: required from here 41 | A = G.transpose() * G; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ geninv.cpp:52:80: required from here 52 | L.block(k, 0, mn - k, r - 1) * L.block(k, 0, 1, r - 1).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, -1, -1, false> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, -1, -1, false> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Rhs = Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:41:27: required from here 41 | A = G.transpose() * G; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:41:27: required from here 41 | A = G.transpose() * G; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, -1, -1, false> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ geninv.cpp:52:80: required from here 52 | L.block(k, 0, mn - k, r - 1) * L.block(k, 0, 1, r - 1).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 493 | A11.template triangularView().solveInPlace(A12); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, -1, -1, false> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, -1, -1, false> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, false> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:39:27: required from here 39 | A = G * G.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 274 | evaluator rhsEval(rhs); | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]’ 329 | internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator > >, Eigen::Map >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:41:27: required from here 41 | A = G.transpose() * G; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1, false> >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1, false> >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl > >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, -1, -1, false>; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, -1, -1, false>]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, 1, -1, true>, Eigen::Block, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, 1, -1, true>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, 1, -1, true>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Block, -1, -1, false>, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Block, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:67:37: required from here 67 | M = (M.transpose() * M).inverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:74:85: required from here 74 | Y = L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint() * G.adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator > >, Eigen::Block, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ geninv.cpp:72:85: required from here 72 | Y = G.adjoint() * L.block(0, 0, mn, r) * M * M * L.block(0, 0, mn, r).adjoint(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++ -std=gnu++17 -shared -L/usr/lib64/R/lib -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -o geeVerse.so RcppExports.o geninv.o -L/usr/lib64/R/lib -lR installing to /builddir/build/BUILDROOT/R-CRAN-geeVerse-0.2.2-1.fc40.copr8249501.x86_64/usr/local/lib/R/library/00LOCK-geeVerse/00new/geeVerse/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices converting help for package ‘geeVerse’ finding HTML links ... done CVfit html PGEE html Siga_cov html compile_result html generateData html predict.qpgee html qpgee html qpgee.est html simuGene html yeastG1 html ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (geeVerse) + test -d geeVerse/src + cd geeVerse/src + rm -f RcppExports.o geninv.o geeVerse.so + rm -f /builddir/build/BUILDROOT/R-CRAN-geeVerse-0.2.2-1.fc40.copr8249501.x86_64/usr/local/lib/R/library/R.css + find /builddir/build/BUILDROOT/R-CRAN-geeVerse-0.2.2-1.fc40.copr8249501.x86_64/usr/local/lib/R/library -type f -exec sed -i s@/builddir/build/BUILDROOT/R-CRAN-geeVerse-0.2.2-1.fc40.copr8249501.x86_64@@g '{}' ';' + /usr/bin/find-debuginfo -j2 --strict-build-id -m -i --build-id-seed 0.2.2-1.fc40.copr8249501 --unique-debug-suffix -0.2.2-1.fc40.copr8249501.x86_64 --unique-debug-src-base R-CRAN-geeVerse-0.2.2-1.fc40.copr8249501.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/geeVerse find-debuginfo: starting Extracting debug info from 1 files DWARF-compressing 1 files sepdebugcrcfix: Updated 1 CRC32s, 0 CRC32s did match. Creating .debug symlinks for symlinks to ELF files Copying sources found by 'debugedit -l' to /usr/src/debug/R-CRAN-geeVerse-0.2.2-1.fc40.copr8249501.x86_64 6 blocks find-debuginfo: done + /usr/lib/rpm/check-buildroot + /usr/lib/rpm/redhat/brp-ldconfig + /usr/lib/rpm/brp-compress + /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip + /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip + /usr/lib/rpm/redhat/brp-mangle-shebangs + /usr/lib/rpm/brp-remove-la-files + env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j2 + /usr/lib/rpm/redhat/brp-python-hardlink Processing files: R-CRAN-geeVerse-0.2.2-1.fc40.copr8249501.x86_64 Provides: R-CRAN-geeVerse = 0.2.2-1.fc40.copr8249501 R-CRAN-geeVerse(x86-64) = 0.2.2-1.fc40.copr8249501 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: libR.so()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.11)(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.4)(64bit) libc.so.6(GLIBC_ABI_DT_RELR)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.15)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.26)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: R-CRAN-geeVerse-debugsource-0.2.2-1.fc40.copr8249501.x86_64 Provides: R-CRAN-geeVerse-debugsource = 0.2.2-1.fc40.copr8249501 R-CRAN-geeVerse-debugsource(x86-64) = 0.2.2-1.fc40.copr8249501 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Processing files: R-CRAN-geeVerse-debuginfo-0.2.2-1.fc40.copr8249501.x86_64 Provides: R-CRAN-geeVerse-debuginfo = 0.2.2-1.fc40.copr8249501 R-CRAN-geeVerse-debuginfo(x86-64) = 0.2.2-1.fc40.copr8249501 debuginfo(build-id) = 95be99f100f39c1691f63600abfdea41250ed45a Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: R-CRAN-geeVerse-debugsource(x86-64) = 0.2.2-1.fc40.copr8249501 Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILDROOT/R-CRAN-geeVerse-0.2.2-1.fc40.copr8249501.x86_64 Wrote: /builddir/build/RPMS/R-CRAN-geeVerse-0.2.2-1.fc40.copr8249501.x86_64.rpm Wrote: /builddir/build/RPMS/R-CRAN-geeVerse-debugsource-0.2.2-1.fc40.copr8249501.x86_64.rpm Wrote: /builddir/build/RPMS/R-CRAN-geeVerse-debuginfo-0.2.2-1.fc40.copr8249501.x86_64.rpm Executing(%clean): /bin/sh -e /var/tmp/rpm-tmp.KIs6Mk + umask 022 + cd /builddir/build/BUILD + cd geeVerse + /usr/bin/rm -rf /builddir/build/BUILDROOT/R-CRAN-geeVerse-0.2.2-1.fc40.copr8249501.x86_64 + RPM_EC=0 ++ jobs -p + exit 0 Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.VeK2YL + umask 022 + cd /builddir/build/BUILD + rm -rf /builddir/build/BUILD/geeVerse-SPECPARTS + rm -rf geeVerse geeVerse.gemspec + RPM_EC=0 ++ jobs -p + exit 0 RPM build warnings: source_date_epoch_from_changelog set but %changelog is missing Finish: rpmbuild R-CRAN-geeVerse-0.2.2-1.fc40.copr8249501.src.rpm Finish: build phase for R-CRAN-geeVerse-0.2.2-1.fc40.copr8249501.src.rpm INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-40-x86_64-1731462413.044463/root/var/log/dnf5.log INFO: chroot_scan: creating tarball /var/lib/copr-rpmbuild/results/chroot_scan.tar.gz /bin/tar: Removing leading `/' from member names INFO: Done(/var/lib/copr-rpmbuild/results/R-CRAN-geeVerse-0.2.2-1.fc40.copr8249501.src.rpm) Config(child) 1 minutes 6 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot Finish: run Running RPMResults tool Package info: { "packages": [ { "name": "R-CRAN-geeVerse-debugsource", "epoch": null, "version": "0.2.2", "release": "1.fc40.copr8249501", "arch": "x86_64" }, { "name": "R-CRAN-geeVerse", "epoch": null, "version": "0.2.2", "release": "1.fc40.copr8249501", "arch": "x86_64" }, { "name": "R-CRAN-geeVerse-debuginfo", "epoch": null, "version": "0.2.2", "release": "1.fc40.copr8249501", "arch": "x86_64" }, { "name": "R-CRAN-geeVerse", "epoch": null, "version": "0.2.2", "release": "1.fc40.copr8249501", "arch": "src" } ] } RPMResults finished