Warning: Permanently added '3.236.219.145' (ED25519) to the list of known hosts.

You can reproduce this build on your computer by running:

  sudo dnf install copr-rpmbuild
  /usr/bin/copr-rpmbuild --verbose --drop-resultdir --task-url https://copr.fedorainfracloud.org/backend/get-build-task/7353593-fedora-rawhide-x86_64 --chroot fedora-rawhide-x86_64


Version: 0.72
PID: 6614
Logging PID: 6615
Task:
{'allow_user_ssh': False,
 'appstream': False,
 'background': True,
 'bootstrap': 'off',
 'build_id': 7353593,
 'buildroot_pkgs': [],
 'chroot': 'fedora-rawhide-x86_64',
 'enable_net': False,
 'fedora_review': False,
 'git_hash': '6beb5179a9899c53bba60c99cc335fd80ce5a7c7',
 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-RcppEigen',
 'isolation': 'default',
 'memory_reqs': 2048,
 'package_name': 'R-CRAN-RcppEigen',
 'package_version': '0.3.4.0.0-1.copr7353593',
 'project_dirname': 'cran',
 'project_name': 'cran',
 'project_owner': 'iucar',
 'repo_priority': None,
 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/iucar/cran/fedora-rawhide-x86_64/',
            'id': 'copr_base',
            'name': 'Copr repository',
            'priority': None}],
 'sandbox': 'iucar/cran--iucar',
 'source_json': {},
 'source_type': None,
 'ssh_public_keys': None,
 'submitter': 'iucar',
 'tags': [],
 'task_id': '7353593-fedora-rawhide-x86_64',
 'timeout': 18000,
 'uses_devel_repo': False,
 'with_opts': [],
 'without_opts': []}

Running: git clone https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-RcppEigen /var/lib/copr-rpmbuild/workspace/workdir-l4jon81r/R-CRAN-RcppEigen --depth 500 --no-single-branch --recursive

cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-RcppEigen', '/var/lib/copr-rpmbuild/workspace/workdir-l4jon81r/R-CRAN-RcppEigen', '--depth', '500', '--no-single-branch', '--recursive']
cwd: .
rc: 0
stdout: 
stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-l4jon81r/R-CRAN-RcppEigen'...

Running: git checkout 6beb5179a9899c53bba60c99cc335fd80ce5a7c7 --

cmd: ['git', 'checkout', '6beb5179a9899c53bba60c99cc335fd80ce5a7c7', '--']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-l4jon81r/R-CRAN-RcppEigen
rc: 0
stdout: 
stderr: Note: switching to '6beb5179a9899c53bba60c99cc335fd80ce5a7c7'.

You are in 'detached HEAD' state. You can look around, make experimental
changes and commit them, and you can discard any commits you make in this
state without impacting any branches by switching back to a branch.

If you want to create a new branch to retain commits you create, you may
do so (now or later) by using -c with the switch command. Example:

  git switch -c <new-branch-name>

Or undo this operation with:

  git switch -

Turn off this advice by setting config variable advice.detachedHead to false

HEAD is now at 6beb517 automatic import of R-CRAN-RcppEigen

Running: copr-distgit-client sources

cmd: ['copr-distgit-client', 'sources']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-l4jon81r/R-CRAN-RcppEigen
rc: 0
stdout: 
stderr: INFO: Reading stdout from command: git rev-parse --abbrev-ref HEAD
INFO: Reading stdout from command: git rev-parse HEAD
INFO: Reading sources specification file: sources
INFO: Downloading RcppEigen_0.3.4.0.0.tar.gz
INFO: Reading stdout from command: curl --help all
INFO: Calling: curl -H Pragma: -o RcppEigen_0.3.4.0.0.tar.gz --location --connect-timeout 60 --retry 3 --retry-delay 10 --remote-time --show-error --fail --retry-all-errors https://copr-dist-git.fedorainfracloud.org/repo/pkgs/iucar/cran/R-CRAN-RcppEigen/RcppEigen_0.3.4.0.0.tar.gz/md5/70b0b58a661991465f725397c2efcd81/RcppEigen_0.3.4.0.0.tar.gz
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100 1724k  100 1724k    0     0  93.3M      0 --:--:-- --:--:-- --:--:-- 99.0M
/usr/bin/tail: /var/lib/copr-rpmbuild/main.log: file truncated
INFO: Reading stdout from command: md5sum RcppEigen_0.3.4.0.0.tar.gz

Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-l4jon81r/R-CRAN-RcppEigen/R-CRAN-RcppEigen.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-l4jon81r/R-CRAN-RcppEigen --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1714106898.767203 -r /var/lib/copr-rpmbuild/results/configs/child.cfg
INFO: mock.py version 5.5 starting (python version = 3.12.1, NVR = mock-5.5-1.fc39), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-l4jon81r/R-CRAN-RcppEigen/R-CRAN-RcppEigen.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-l4jon81r/R-CRAN-RcppEigen --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1714106898.767203 -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-l4jon81r/R-CRAN-RcppEigen/R-CRAN-RcppEigen.spec)  Config(fedora-rawhide-x86_64)
Start: clean chroot
Finish: clean chroot
Mock Version: 5.5
INFO: Mock Version: 5.5
Start: chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-1714106898.767203/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-4.19.2-1.fc39.noarch
  python3-dnf-plugins-core-4.6.0-1.fc39.noarch
  yum-4.19.2-1.fc39.noarch
  dnf5-5.1.17-1.fc39.x86_64
  dnf5-plugins-5.1.17-1.fc39.x86_64
Start: installing minimal buildroot with dnf5
Updating and loading repositories:
 fedora                                 100% |  18.4 MiB/s |  21.1 MiB |  00m01s
 Copr repository                        100% |  63.8 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 9.5-1.fc41                 fedora       5.5 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 41-0.9                     fedora      19.2 KiB
 findutils                        x86_64 1:4.9.0-8.fc40             fedora       1.5 MiB
 gawk                             x86_64 5.3.0-3.fc40               fedora       1.7 MiB
 glibc-minimal-langpack           x86_64 2.39.9000-14.fc41          fedora       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.fc41                 fedora     183.3 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 2:4.15.1-2.fc41            fedora       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 2.40-13.fc41               fedora       3.7 MiB
 which                            x86_64 2.21-41.fc40               fedora      80.2 KiB
 xz                               x86_64 1:5.4.6-3.fc41             fedora       2.0 MiB
Installing dependencies:                                                                
 alternatives                     x86_64 1.26-3.fc40                fedora      62.3 KiB
 ansible-srpm-macros              noarch 1-15.fc41                  fedora      35.7 KiB
 audit-libs                       x86_64 4.0.1-1.fc41               fedora     327.3 KiB
 authselect                       x86_64 1.5.0-5.fc41               fedora     153.6 KiB
 authselect-libs                  x86_64 1.5.0-5.fc41               fedora     818.2 KiB
 basesystem                       noarch 11-20.fc40                 fedora       0.0   B
 binutils                         x86_64 2.42.50-6.fc41             fedora      27.2 MiB
 binutils-gold                    x86_64 2.42.50-6.fc41             fedora       2.0 MiB
 bzip2-libs                       x86_64 1.0.8-18.fc40              fedora      80.7 KiB
 ca-certificates                  noarch 2023.2.62_v7.0.401-6.fc40  fedora       2.3 MiB
 coreutils-common                 x86_64 9.5-1.fc41                 fedora      11.2 MiB
 cracklib                         x86_64 2.9.11-5.fc40              fedora     238.9 KiB
 crypto-policies                  noarch 20240320-1.git58e3d95.fc41 fedora     119.2 KiB
 curl                             x86_64 8.7.1-1.fc41               fedora     758.1 KiB
 cyrus-sasl-lib                   x86_64 2.1.28-19.fc40             fedora       2.3 MiB
 debugedit                        x86_64 5.0-14.fc40                fedora     199.0 KiB
 dwz                              x86_64 0.15-6.fc40                fedora     290.9 KiB
 ed                               x86_64 1.20.2-1.fc41              fedora     146.8 KiB
 efi-srpm-macros                  noarch 5-11.fc40                  fedora      40.1 KiB
 elfutils                         x86_64 0.191-7.fc41               fedora       2.5 MiB
 elfutils-debuginfod-client       x86_64 0.191-7.fc41               fedora      64.9 KiB
 elfutils-default-yama-scope      noarch 0.191-7.fc41               fedora       1.8 KiB
 elfutils-libelf                  x86_64 0.191-7.fc41               fedora       1.2 MiB
 elfutils-libs                    x86_64 0.191-7.fc41               fedora     646.1 KiB
 fedora-gpg-keys                  noarch 41-0.1                     fedora     125.0 KiB
 fedora-release                   noarch 41-0.9                     fedora       0.0   B
 fedora-release-identity-basic    noarch 41-0.9                     fedora     694.0   B
 fedora-repos                     noarch 41-0.1                     fedora       4.9 KiB
 fedora-repos-rawhide             noarch 41-0.1                     fedora       2.2 KiB
 file                             x86_64 5.45-5.fc41                fedora     103.5 KiB
 file-libs                        x86_64 5.45-5.fc41                fedora       9.9 MiB
 filesystem                       x86_64 3.18-9.fc41                fedora     106.0   B
 fonts-srpm-macros                noarch 1:2.0.5-14.fc40            fedora      55.3 KiB
 forge-srpm-macros                noarch 0.3.1-1.fc41               fedora      39.0 KiB
 fpc-srpm-macros                  noarch 1.3-12.fc40                fedora     144.0   B
 gdb-minimal                      x86_64 14.2-5.fc41                fedora      12.7 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.fc41               fedora     747.0   B
 glibc                            x86_64 2.39.9000-14.fc41          fedora       6.7 MiB
 glibc-common                     x86_64 2.39.9000-14.fc41          fedora       1.0 MiB
 glibc-gconv-extra                x86_64 2.39.9000-14.fc41          fedora       7.8 MiB
 gmp                              x86_64 1:6.3.0-1.fc41             fedora     803.4 KiB
 gnat-srpm-macros                 noarch 6-5.fc40                   fedora       1.0 KiB
 go-srpm-macros                   noarch 3.6.0-1.fc41               fedora      60.8 KiB
 jansson                          x86_64 2.13.1-9.fc40              fedora      88.3 KiB
 kernel-srpm-macros               noarch 1.0-23.fc41                fedora       1.9 KiB
 keyutils-libs                    x86_64 1.6.3-3.fc40               fedora      54.4 KiB
 krb5-libs                        x86_64 1.21.2-5.fc40              fedora       2.3 MiB
 libacl                           x86_64 2.3.2-1.fc40               fedora      40.0 KiB
 libarchive                       x86_64 3.7.2-3.fc41               fedora     914.6 KiB
 libattr                          x86_64 2.5.2-3.fc40               fedora      28.5 KiB
 libblkid                         x86_64 2.40-13.fc41               fedora     262.5 KiB
 libbrotli                        x86_64 1.1.0-3.fc40               fedora     829.5 KiB
 libcap                           x86_64 2.69-8.fc41                fedora     219.7 KiB
 libcap-ng                        x86_64 0.8.5-1.fc41               fedora      69.1 KiB
 libcom_err                       x86_64 1.47.0-5.fc40              fedora      67.2 KiB
 libcurl                          x86_64 8.7.1-1.fc41               fedora     793.5 KiB
 libeconf                         x86_64 0.6.2-1.fc41               fedora      58.0 KiB
 libevent                         x86_64 2.1.12-12.fc40             fedora     895.6 KiB
 libfdisk                         x86_64 2.40-13.fc41               fedora     362.9 KiB
 libffi                           x86_64 3.4.6-1.fc41               fedora      82.4 KiB
 libgcc                           x86_64 14.0.1-0.15.fc41           fedora     270.6 KiB
 libgomp                          x86_64 14.0.1-0.15.fc41           fedora     519.2 KiB
 libidn2                          x86_64 2.3.7-1.fc40               fedora     329.1 KiB
 libmount                         x86_64 2.40-13.fc41               fedora     351.8 KiB
 libnghttp2                       x86_64 1.61.0-1.fc41              fedora     166.1 KiB
 libnsl2                          x86_64 2.0.1-1.fc40               fedora      57.9 KiB
 libpkgconf                       x86_64 2.1.0-1.fc40               fedora      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 3.6-4.fc40                 fedora     173.0 KiB
 libsemanage                      x86_64 3.6-3.fc40                 fedora     293.5 KiB
 libsepol                         x86_64 3.6-3.fc40                 fedora     802.0 KiB
 libsmartcols                     x86_64 2.40-13.fc41               fedora     180.4 KiB
 libssh                           x86_64 0.10.6-6.fc41              fedora     513.3 KiB
 libssh-config                    noarch 0.10.6-6.fc41              fedora     277.0   B
 libstdc++                        x86_64 14.0.1-0.15.fc41           fedora       2.8 MiB
 libtasn1                         x86_64 4.19.0-6.fc40              fedora     175.7 KiB
 libtirpc                         x86_64 1.3.4-1.rc3.fc41           fedora     202.8 KiB
 libtool-ltdl                     x86_64 2.4.7-10.fc40              fedora      66.2 KiB
 libunistring                     x86_64 1.1-7.fc41                 fedora       1.7 MiB
 libutempter                      x86_64 1.2.1-13.fc40              fedora      57.7 KiB
 libuuid                          x86_64 2.40-13.fc41               fedora      37.4 KiB
 libverto                         x86_64 0.3.2-8.fc40               fedora      29.5 KiB
 libxcrypt                        x86_64 4.4.36-5.fc40              fedora     262.8 KiB
 libxml2                          x86_64 2.12.6-1.fc41              fedora       1.7 MiB
 libzstd                          x86_64 1.5.6-1.fc41               fedora     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 4.2.1-3.fc40               fedora     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 2-17.fc41                  fedora     112.0   B
 openldap                         x86_64 2.6.7-1.fc40               fedora     635.1 KiB
 openssl-libs                     x86_64 1:3.2.1-6.fc41             fedora       7.8 MiB
 p11-kit                          x86_64 0.25.3-4.fc40              fedora       2.2 MiB
 p11-kit-trust                    x86_64 0.25.3-4.fc40              fedora     391.4 KiB
 package-notes-srpm-macros        noarch 0.5-11.fc40                fedora       1.6 KiB
 pam                              x86_64 1.6.1-1.fc41               fedora       1.8 MiB
 pam-libs                         x86_64 1.6.1-1.fc41               fedora     135.0 KiB
 pcre2                            x86_64 10.43-1.fc41               fedora     653.5 KiB
 pcre2-syntax                     noarch 10.43-1.fc41               fedora     249.0 KiB
 perl-srpm-macros                 noarch 1-53.fc40                  fedora     861.0   B
 pkgconf                          x86_64 2.1.0-1.fc40               fedora      82.4 KiB
 pkgconf-m4                       noarch 2.1.0-1.fc40               fedora      13.9 KiB
 pkgconf-pkg-config               x86_64 2.1.0-1.fc40               fedora     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 1.12.0-1.fc40              fedora       1.5 KiB
 python-srpm-macros               noarch 3.12-9.fc41                fedora      50.5 KiB
 qt5-srpm-macros                  noarch 5.15.13-1.fc41             fedora     492.0   B
 qt6-srpm-macros                  noarch 6.7.0-1.fc41               fedora     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 1.6.0-2.fc40               fedora       2.2 MiB
 rust-srpm-macros                 noarch 26.2-1.fc41                fedora       4.8 KiB
 setup                            noarch 2.14.5-2.fc40              fedora     720.4 KiB
 sqlite-libs                      x86_64 3.45.2-1.fc41              fedora       1.4 MiB
 systemd-libs                     x86_64 255.5-1.fc41               fedora       1.9 MiB
 util-linux-core                  x86_64 2.40-13.fc41               fedora       1.5 MiB
 xxhash-libs                      x86_64 0.8.2-2.fc40               fedora      88.5 KiB
 xz-libs                          x86_64 1:5.4.6-3.fc41             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 2.1.6-2.fc40               fedora     134.0 KiB
 zstd                             x86_64 1.5.6-1.fc41               fedora       1.7 MiB
Installing groups:                                                                      
 Buildsystem building group                                                             

Transaction Summary:
 Installing:      153 packages

Total size of inbound packages is 53 MiB. Need to download 53 MiB.
After this operation 179 MiB will be used (install 179 MiB, remove 0 B).
[  1/153] bzip2-0:1.0.8-18.fc40.x86_64  100% |   3.4 MiB/s |  52.4 KiB |  00m00s
[  2/153] cpio-0:2.15-1.fc40.x86_64     100% |  23.8 MiB/s | 292.2 KiB |  00m00s
[  3/153] coreutils-0:9.5-1.fc41.x86_64 100% |  34.3 MiB/s |   1.1 MiB |  00m00s
[  4/153] fedora-release-common-0:41-0. 100% |  10.5 MiB/s |  21.5 KiB |  00m00s
[  5/153] diffutils-0:3.10-5.fc40.x86_6 100% |  49.5 MiB/s | 405.5 KiB |  00m00s
[  6/153] glibc-minimal-langpack-0:2.39 100% |  35.7 MiB/s | 109.5 KiB |  00m00s
[  7/153] findutils-1:4.9.0-8.fc40.x86_ 100% |  53.4 MiB/s | 491.9 KiB |  00m00s
[  8/153] grep-0:3.11-7.fc40.x86_64     100% |  41.9 MiB/s | 300.2 KiB |  00m00s
[  9/153] gzip-0:1.13-1.fc40.x86_64     100% |  27.8 MiB/s | 170.6 KiB |  00m00s
[ 10/153] info-0:7.1-2.fc40.x86_64      100% |  35.6 MiB/s | 182.3 KiB |  00m00s
[ 11/153] patch-0:2.7.6-24.fc40.x86_64  100% |  25.5 MiB/s | 130.7 KiB |  00m00s
[ 12/153] redhat-rpm-config-0:288-1.fc4 100% |  20.1 MiB/s |  82.3 KiB |  00m00s
[ 13/153] rpm-build-0:4.19.1.1-1.fc40.x 100% |  25.5 MiB/s |  78.2 KiB |  00m00s
[ 14/153] bash-0:5.2.26-3.fc40.x86_64   100% |  29.1 MiB/s |   1.8 MiB |  00m00s
[ 15/153] sed-0:4.9-1.fc40.x86_64       100% |  51.8 MiB/s | 318.2 KiB |  00m00s
[ 16/153] unzip-0:6.0-63.fc40.x86_64    100% |  30.0 MiB/s | 184.5 KiB |  00m00s
[ 17/153] tar-2:1.35-3.fc40.x86_64      100% | 104.6 MiB/s | 856.6 KiB |  00m00s
[ 18/153] which-0:2.21-41.fc40.x86_64   100% |  20.2 MiB/s |  41.4 KiB |  00m00s
[ 19/153] xz-1:5.4.6-3.fc41.x86_64      100% |  54.4 MiB/s | 557.5 KiB |  00m00s
[ 20/153] shadow-utils-2:4.15.1-2.fc41. 100% |  47.3 MiB/s |   1.3 MiB |  00m00s
[ 21/153] gawk-0:5.3.0-3.fc40.x86_64    100% |  53.6 MiB/s |   1.1 MiB |  00m00s
[ 22/153] util-linux-0:2.40-13.fc41.x86 100% |  57.2 MiB/s |   1.2 MiB |  00m00s
[ 23/153] ncurses-libs-0:6.4-12.2024012 100% |  54.1 MiB/s | 332.5 KiB |  00m00s
[ 24/153] bzip2-libs-0:1.0.8-18.fc40.x8 100% |  13.3 MiB/s |  40.9 KiB |  00m00s
[ 25/153] filesystem-0:3.18-9.fc41.x86_ 100% |  34.0 MiB/s |   1.1 MiB |  00m00s
[ 26/153] gmp-1:6.3.0-1.fc41.x86_64     100% |  44.2 MiB/s | 316.8 KiB |  00m00s
[ 27/153] libacl-0:2.3.2-1.fc40.x86_64  100% |   8.0 MiB/s |  24.4 KiB |  00m00s
[ 28/153] libattr-0:2.5.2-3.fc40.x86_64 100% |   8.8 MiB/s |  18.0 KiB |  00m00s
[ 29/153] glibc-0:2.39.9000-14.fc41.x86 100% |  49.9 MiB/s |   2.2 MiB |  00m00s
[ 30/153] libcap-0:2.69-8.fc41.x86_64   100% |  16.7 MiB/s |  85.5 KiB |  00m00s
[ 31/153] libselinux-0:3.6-4.fc40.x86_6 100% |  28.5 MiB/s |  87.5 KiB |  00m00s
[ 32/153] fedora-repos-0:41-0.1.noarch  100% |   4.6 MiB/s |   9.3 KiB |  00m00s
[ 33/153] coreutils-common-0:9.5-1.fc41 100% |  62.4 MiB/s |   2.1 MiB |  00m00s
[ 34/153] glibc-common-0:2.39.9000-14.f 100% |  43.1 MiB/s | 397.3 KiB |  00m00s
[ 35/153] pcre2-0:10.43-1.fc41.x86_64   100% |  23.6 MiB/s | 241.9 KiB |  00m00s
[ 36/153] ed-0:1.20.2-1.fc41.x86_64     100% |  26.7 MiB/s |  81.9 KiB |  00m00s
[ 37/153] ansible-srpm-macros-0:1-15.fc 100% |  10.2 MiB/s |  20.9 KiB |  00m00s
[ 38/153] dwz-0:0.15-6.fc40.x86_64      100% |  33.6 MiB/s | 137.8 KiB |  00m00s
[ 39/153] efi-srpm-macros-0:5-11.fc40.n 100% |  10.9 MiB/s |  22.3 KiB |  00m00s
[ 40/153] file-0:5.45-5.fc41.x86_64     100% |  12.0 MiB/s |  49.1 KiB |  00m00s
[ 41/153] fonts-srpm-macros-1:2.0.5-14. 100% |   6.5 MiB/s |  26.5 KiB |  00m00s
[ 42/153] forge-srpm-macros-0:0.3.1-1.f 100% |   9.5 MiB/s |  19.4 KiB |  00m00s
[ 43/153] fpc-srpm-macros-0:1.3-12.fc40 100% |   2.5 MiB/s |   7.8 KiB |  00m00s
[ 44/153] ghc-srpm-macros-0:1.9.1-1.fc4 100% |   8.8 MiB/s |   9.0 KiB |  00m00s
[ 45/153] gnat-srpm-macros-0:6-5.fc40.n 100% |   2.9 MiB/s |   8.8 KiB |  00m00s
[ 46/153] go-srpm-macros-0:3.6.0-1.fc41 100% |   9.1 MiB/s |  27.9 KiB |  00m00s
[ 47/153] openssl-libs-1:3.2.1-6.fc41.x 100% |  59.1 MiB/s |   2.3 MiB |  00m00s
[ 48/153] kernel-srpm-macros-0:1.0-23.f 100% |   2.4 MiB/s |   9.8 KiB |  00m00s
[ 49/153] lua-srpm-macros-0:1-13.fc40.n 100% |   2.1 MiB/s |   8.7 KiB |  00m00s
[ 50/153] openblas-srpm-macros-0:2-17.f 100% |   3.7 MiB/s |   7.7 KiB |  00m00s
[ 51/153] ocaml-srpm-macros-0:9-3.fc40. 100% |   4.4 MiB/s |   9.1 KiB |  00m00s
[ 52/153] package-notes-srpm-macros-0:0 100% |   4.9 MiB/s |   9.9 KiB |  00m00s
[ 53/153] pyproject-srpm-macros-0:1.12. 100% |   6.7 MiB/s |  13.6 KiB |  00m00s
[ 54/153] perl-srpm-macros-0:1-53.fc40. 100% |   4.1 MiB/s |   8.4 KiB |  00m00s
[ 55/153] python-srpm-macros-0:3.12-9.f 100% |  11.7 MiB/s |  24.0 KiB |  00m00s
[ 56/153] qt5-srpm-macros-0:5.15.13-1.f 100% |   4.1 MiB/s |   8.5 KiB |  00m00s
[ 57/153] qt6-srpm-macros-0:6.7.0-1.fc4 100% |   4.4 MiB/s |   9.0 KiB |  00m00s
[ 58/153] rust-srpm-macros-0:26.2-1.fc4 100% |  12.3 MiB/s |  12.6 KiB |  00m00s
[ 59/153] zig-srpm-macros-0:1-2.fc40.no 100% |   3.9 MiB/s |   8.0 KiB |  00m00s
[ 60/153] debugedit-0:5.0-14.fc40.x86_6 100% |  25.6 MiB/s |  78.7 KiB |  00m00s
[ 61/153] zip-0:3.0-40.fc40.x86_64      100% |  43.1 MiB/s | 264.8 KiB |  00m00s
[ 62/153] rpm-0:4.19.1.1-1.fc40.x86_64  100% |  44.0 MiB/s | 540.1 KiB |  00m00s
[ 63/153] popt-0:1.19-6.fc40.x86_64     100% |  16.3 MiB/s |  66.7 KiB |  00m00s
[ 64/153] elfutils-libelf-0:0.191-7.fc4 100% |  33.9 MiB/s | 208.5 KiB |  00m00s
[ 65/153] rpm-build-libs-0:4.19.1.1-1.f 100% |  30.9 MiB/s |  95.0 KiB |  00m00s
[ 66/153] readline-0:8.2-8.fc40.x86_64  100% |  34.7 MiB/s | 213.3 KiB |  00m00s
[ 67/153] elfutils-0:0.191-7.fc41.x86_6 100% |  34.5 MiB/s | 530.0 KiB |  00m00s
[ 68/153] rpm-libs-0:4.19.1.1-1.fc40.x8 100% |  60.3 MiB/s | 308.9 KiB |  00m00s
[ 69/153] audit-libs-0:4.0.1-1.fc41.x86 100% |  30.7 MiB/s | 125.6 KiB |  00m00s
[ 70/153] libeconf-0:0.6.2-1.fc41.x86_6 100% |  10.4 MiB/s |  31.9 KiB |  00m00s
[ 71/153] zstd-0:1.5.6-1.fc41.x86_64    100% |  58.5 MiB/s | 479.3 KiB |  00m00s
[ 72/153] libsemanage-0:3.6-3.fc40.x86_ 100% |  28.4 MiB/s | 116.4 KiB |  00m00s
[ 73/153] libxcrypt-0:4.4.36-5.fc40.x86 100% |  28.8 MiB/s | 118.1 KiB |  00m00s
[ 74/153] pam-libs-0:1.6.1-1.fc41.x86_6 100% |  18.5 MiB/s |  56.9 KiB |  00m00s
[ 75/153] setup-0:2.14.5-2.fc40.noarch  100% |  37.8 MiB/s | 154.7 KiB |  00m00s
[ 76/153] xz-libs-1:5.4.6-3.fc41.x86_64 100% |  26.9 MiB/s | 110.2 KiB |  00m00s
[ 77/153] libblkid-0:2.40-13.fc41.x86_6 100% |  24.3 MiB/s | 124.3 KiB |  00m00s
[ 78/153] libcap-ng-0:0.8.5-1.fc41.x86_ 100% |   7.9 MiB/s |  32.3 KiB |  00m00s
[ 79/153] libfdisk-0:2.40-13.fc41.x86_6 100% |  38.9 MiB/s | 159.3 KiB |  00m00s
[ 80/153] mpfr-0:4.2.1-3.fc40.x86_64    100% |  28.4 MiB/s | 349.0 KiB |  00m00s
[ 81/153] libmount-0:2.40-13.fc41.x86_6 100% |  37.8 MiB/s | 154.7 KiB |  00m00s
[ 82/153] libutempter-0:1.2.1-13.fc40.x 100% |  12.9 MiB/s |  26.4 KiB |  00m00s
[ 83/153] libsmartcols-0:2.40-13.fc41.x 100% |  27.1 MiB/s |  83.3 KiB |  00m00s
[ 84/153] libuuid-0:2.40-13.fc41.x86_64 100% |   9.3 MiB/s |  28.4 KiB |  00m00s
[ 85/153] zlib-ng-compat-0:2.1.6-2.fc40 100% |   9.4 MiB/s |  77.1 KiB |  00m00s
[ 86/153] util-linux-core-0:2.40-13.fc4 100% |  47.6 MiB/s | 536.0 KiB |  00m00s
[ 87/153] systemd-libs-0:255.5-1.fc41.x 100% |  57.5 MiB/s | 706.1 KiB |  00m00s
[ 88/153] basesystem-0:11-20.fc40.noarc 100% |   3.5 MiB/s |   7.2 KiB |  00m00s
[ 89/153] ncurses-base-0:6.4-12.2024012 100% |   8.7 MiB/s |  88.9 KiB |  00m00s
[ 90/153] libgcc-0:14.0.1-0.15.fc41.x86 100% |   8.8 MiB/s | 125.6 KiB |  00m00s
[ 91/153] libsepol-0:3.6-3.fc40.x86_64  100% |  47.4 MiB/s | 340.1 KiB |  00m00s
[ 92/153] crypto-policies-0:20240320-1. 100% |  29.6 MiB/s |  90.8 KiB |  00m00s
[ 93/153] glibc-gconv-extra-0:2.39.9000 100% |  55.8 MiB/s |   1.7 MiB |  00m00s
[ 94/153] fedora-gpg-keys-0:41-0.1.noar 100% |  25.8 MiB/s | 131.8 KiB |  00m00s
[ 95/153] ca-certificates-0:2023.2.62_v 100% |  60.1 MiB/s | 862.1 KiB |  00m00s
[ 96/153] fedora-repos-rawhide-0:41-0.1 100% |   4.4 MiB/s |   8.9 KiB |  00m00s
[ 97/153] pcre2-syntax-0:10.43-1.fc41.n 100% |  36.3 MiB/s | 148.8 KiB |  00m00s
[ 98/153] curl-0:8.7.1-1.fc41.x86_64    100% |  49.8 MiB/s | 305.9 KiB |  00m00s
[ 99/153] libarchive-0:3.7.2-3.fc41.x86 100% |  56.7 MiB/s | 406.6 KiB |  00m00s
[100/153] file-libs-0:5.45-5.fc41.x86_6 100% |  62.1 MiB/s | 763.0 KiB |  00m00s
[101/153] elfutils-debuginfod-client-0: 100% |  18.7 MiB/s |  38.2 KiB |  00m00s
[102/153] elfutils-libs-0:0.191-7.fc41. 100% |  42.0 MiB/s | 258.1 KiB |  00m00s
[103/153] libzstd-0:1.5.6-1.fc41.x86_64 100% |  43.1 MiB/s | 308.9 KiB |  00m00s
[104/153] libgomp-0:14.0.1-0.15.fc41.x8 100% |  48.2 MiB/s | 345.7 KiB |  00m00s
[105/153] lua-libs-0:5.4.6-5.fc40.x86_6 100% |  25.8 MiB/s | 131.9 KiB |  00m00s
[106/153] libstdc++-0:14.0.1-0.15.fc41. 100% |  61.4 MiB/s | 880.7 KiB |  00m00s
[107/153] lz4-libs-0:1.9.4-6.fc40.x86_6 100% |  21.9 MiB/s |  67.2 KiB |  00m00s
[108/153] sqlite-libs-0:3.45.2-1.fc41.x 100% |  45.9 MiB/s | 705.7 KiB |  00m00s
[109/153] libxml2-0:2.12.6-1.fc41.x86_6 100% |  55.8 MiB/s | 686.3 KiB |  00m00s
[110/153] rpm-sequoia-0:1.6.0-2.fc40.x8 100% |  37.6 MiB/s | 847.5 KiB |  00m00s
[111/153] elfutils-default-yama-scope-0 100% |   4.3 MiB/s |  13.3 KiB |  00m00s
[112/153] authselect-libs-0:1.5.0-5.fc4 100% |  42.7 MiB/s | 218.6 KiB |  00m00s
[113/153] authselect-0:1.5.0-5.fc41.x86 100% |  28.5 MiB/s | 146.2 KiB |  00m00s
[114/153] libnsl2-0:2.0.1-1.fc40.x86_64 100% |  14.4 MiB/s |  29.6 KiB |  00m00s
[115/153] gdbm-libs-1:1.23-6.fc40.x86_6 100% |  13.7 MiB/s |  56.2 KiB |  00m00s
[116/153] pam-0:1.6.1-1.fc41.x86_64     100% |  54.1 MiB/s | 553.5 KiB |  00m00s
[117/153] libpwquality-0:1.4.5-9.fc40.x 100% |  29.2 MiB/s | 119.7 KiB |  00m00s
[118/153] libtirpc-0:1.3.4-1.rc3.fc41.x 100% |  22.6 MiB/s |  92.5 KiB |  00m00s
[119/153] cracklib-0:2.9.11-5.fc40.x86_ 100% |  30.1 MiB/s |  92.5 KiB |  00m00s
[120/153] libcom_err-0:1.47.0-5.fc40.x8 100% |  12.4 MiB/s |  25.4 KiB |  00m00s
[121/153] krb5-libs-0:1.21.2-5.fc40.x86 100% | 105.5 MiB/s | 756.1 KiB |  00m00s
[122/153] keyutils-libs-0:1.6.3-3.fc40. 100% |   6.1 MiB/s |  31.5 KiB |  00m00s
[123/153] libverto-0:0.3.2-8.fc40.x86_6 100% |   5.0 MiB/s |  20.5 KiB |  00m00s
[124/153] alternatives-0:1.26-3.fc40.x8 100% |  13.0 MiB/s |  39.9 KiB |  00m00s
[125/153] jansson-0:2.13.1-9.fc40.x86_6 100% |  21.6 MiB/s |  44.2 KiB |  00m00s
[126/153] pkgconf-pkg-config-0:2.1.0-1. 100% |   4.7 MiB/s |   9.7 KiB |  00m00s
[127/153] pkgconf-0:2.1.0-1.fc40.x86_64 100% |  14.2 MiB/s |  43.5 KiB |  00m00s
[128/153] pkgconf-m4-0:2.1.0-1.fc40.noa 100% |   6.8 MiB/s |  13.9 KiB |  00m00s
[129/153] binutils-gold-0:2.42.50-6.fc4 100% |  47.8 MiB/s | 783.2 KiB |  00m00s
[130/153] libpkgconf-0:2.1.0-1.fc40.x86 100% |  12.3 MiB/s |  37.8 KiB |  00m00s
[131/153] gdbm-1:1.23-6.fc40.x86_64     100% |  29.8 MiB/s | 152.5 KiB |  00m00s
[132/153] libffi-0:3.4.6-1.fc41.x86_64  100% |  13.0 MiB/s |  40.0 KiB |  00m00s
[133/153] libtasn1-0:4.19.0-6.fc40.x86_ 100% |  18.0 MiB/s |  73.7 KiB |  00m00s
[134/153] p11-kit-0:0.25.3-4.fc40.x86_6 100% |  43.5 MiB/s | 489.8 KiB |  00m00s
[135/153] p11-kit-trust-0:0.25.3-4.fc40 100% |  25.7 MiB/s | 131.5 KiB |  00m00s
[136/153] fedora-release-0:41-0.9.noarc 100% |   3.6 MiB/s |  11.0 KiB |  00m00s
[137/153] xxhash-libs-0:0.8.2-2.fc40.x8 100% |  12.0 MiB/s |  36.9 KiB |  00m00s
[138/153] fedora-release-identity-basic 100% |   3.8 MiB/s |  11.8 KiB |  00m00s
[139/153] libcurl-0:8.7.1-1.fc41.x86_64 100% |  31.3 MiB/s | 352.2 KiB |  00m00s
[140/153] libbrotli-0:1.1.0-3.fc40.x86_ 100% |  47.2 MiB/s | 338.4 KiB |  00m00s
[141/153] libidn2-0:2.3.7-1.fc40.x86_64 100% |   9.7 MiB/s | 118.7 KiB |  00m00s
[142/153] libnghttp2-0:1.61.0-1.fc41.x8 100% |  24.8 MiB/s |  76.3 KiB |  00m00s
[143/153] libpsl-0:0.21.5-3.fc40.x86_64 100% |  20.8 MiB/s |  63.9 KiB |  00m00s
[144/153] libssh-0:0.10.6-6.fc41.x86_64 100% |  34.4 MiB/s | 211.5 KiB |  00m00s
[145/153] openldap-0:2.6.7-1.fc40.x86_6 100% |  27.6 MiB/s | 254.3 KiB |  00m00s
[146/153] gdb-minimal-0:14.2-5.fc41.x86 100% |  58.7 MiB/s |   4.3 MiB |  00m00s
[147/153] libunistring-0:1.1-7.fc41.x86 100% |  41.0 MiB/s | 545.4 KiB |  00m00s
[148/153] binutils-0:2.42.50-6.fc41.x86 100% |  55.2 MiB/s |   6.3 MiB |  00m00s
[149/153] publicsuffix-list-dafsa-0:202 100% |   8.1 MiB/s |  58.1 KiB |  00m00s
[150/153] libssh-config-0:0.10.6-6.fc41 100% |   1.5 MiB/s |   9.1 KiB |  00m00s
[151/153] libtool-ltdl-0:2.4.7-10.fc40. 100% |  11.8 MiB/s |  36.2 KiB |  00m00s
[152/153] libevent-0:2.1.12-12.fc40.x86 100% |  22.8 MiB/s | 257.2 KiB |  00m00s
[153/153] cyrus-sasl-lib-0:2.1.28-19.fc 100% |  33.5 MiB/s | 789.3 KiB |  00m00s
--------------------------------------------------------------------------------
[153/153] Total                         100% |  91.1 MiB/s |  52.8 MiB |  00m01s
Running transaction
Importing PGP key 0xE99D6AD1:
 Userid     : "Fedora (41) <fedora-41-primary@fedoraproject.org>"
 Fingerprint: 466CF2D8B60BC3057AA9453ED0622462E99D6AD1
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-41-primary
The key was successfully imported.
Importing PGP key 0xE99D6AD1:
 Userid     : "Fedora (41) <fedora-41-primary@fedoraproject.org>"
 Fingerprint: 466CF2D8B60BC3057AA9453ED0622462E99D6AD1
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-41-primary
The key was successfully imported.
Importing PGP key 0xA15B79CC:
 Userid     : "Fedora (40) <fedora-40-primary@fedoraproject.org>"
 Fingerprint: 115DF9AEF857853EE8445D0A0727707EA15B79CC
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-40-primary
The key was successfully imported.
[  1/155] Verify package files          100% | 705.0   B/s | 153.0   B |  00m00s
>>> Running pre-transaction scriptlet: filesystem-0:3.18-9.fc41.x86_64
>>> Stop pre-transaction scriptlet: filesystem-0:3.18-9.fc41.x86_64
[  2/155] Prepare transaction           100% |   4.4 KiB/s | 153.0   B |  00m00s
[  3/155] Installing libgcc-0:14.0.1-0. 100% | 265.8 MiB/s | 272.2 KiB |  00m00s
>>> Running post-install scriptlet: libgcc-0:14.0.1-0.15.fc41.x86_64
>>> Stop post-install scriptlet: libgcc-0:14.0.1-0.15.fc41.x86_64
[  4/155] Installing crypto-policies-0: 100% |  35.7 MiB/s | 146.2 KiB |  00m00s
>>> Running post-install scriptlet: crypto-policies-0:20240320-1.git58e3d95.fc41
>>> Stop post-install scriptlet: crypto-policies-0:20240320-1.git58e3d95.fc41.no
[  5/155] Installing fedora-release-ide 100% |   0.0   B/s | 952.0   B |  00m00s
[  6/155] Installing fedora-repos-rawhi 100% |   0.0   B/s |   2.4 KiB |  00m00s
[  7/155] Installing fedora-gpg-keys-0: 100% |  55.4 MiB/s | 170.1 KiB |  00m00s
[  8/155] Installing fedora-repos-0:41- 100% |   0.0   B/s |   5.7 KiB |  00m00s
[  9/155] Installing fedora-release-com 100% |  22.7 MiB/s |  23.3 KiB |  00m00s
[ 10/155] Installing fedora-release-0:4 100% |   0.0   B/s | 124.0   B |  00m00s
[ 11/155] Installing setup-0:2.14.5-2.f 100% |  64.4 MiB/s | 725.8 KiB |  00m00s
>>> Running post-install scriptlet: setup-0:2.14.5-2.fc40.noarch
>>> Stop post-install scriptlet: setup-0:2.14.5-2.fc40.noarch
[ 12/155] Installing filesystem-0:3.18- 100% |   3.7 MiB/s | 212.5 KiB |  00m00s
[ 13/155] Installing basesystem-0:11-20 100% |   0.0   B/s | 124.0   B |  00m00s
[ 14/155] Installing libssh-config-0:0. 100% |   0.0   B/s | 816.0   B |  00m00s
[ 15/155] Installing publicsuffix-list- 100% |   0.0   B/s |  68.3 KiB |  00m00s
[ 16/155] Installing pkgconf-m4-0:2.1.0 100% |   0.0   B/s |  14.3 KiB |  00m00s
[ 17/155] Installing pcre2-syntax-0:10. 100% | 245.6 MiB/s | 251.5 KiB |  00m00s
[ 18/155] Installing ncurses-base-0:6.4 100% |  85.8 MiB/s | 351.6 KiB |  00m00s
[ 19/155] Installing glibc-minimal-lang 100% |   0.0   B/s | 124.0   B |  00m00s
[ 20/155] Installing ncurses-libs-0:6.4 100% | 236.7 MiB/s | 969.7 KiB |  00m00s
>>> Running pre-install scriptlet: glibc-0:2.39.9000-14.fc41.x86_64
>>> Stop pre-install scriptlet: glibc-0:2.39.9000-14.fc41.x86_64
[ 21/155] Installing glibc-0:2.39.9000- 100% | 258.4 MiB/s |   6.7 MiB |  00m00s
>>> Running post-install scriptlet: glibc-0:2.39.9000-14.fc41.x86_64
>>> Stop post-install scriptlet: glibc-0:2.39.9000-14.fc41.x86_64
[ 22/155] Installing bash-0:5.2.26-3.fc 100% | 429.5 MiB/s |   8.2 MiB |  00m00s
>>> Running post-install scriptlet: bash-0:5.2.26-3.fc40.x86_64
>>> Stop post-install scriptlet: bash-0:5.2.26-3.fc40.x86_64
[ 23/155] Installing glibc-common-0:2.3 100% | 205.5 MiB/s |   1.0 MiB |  00m00s
[ 24/155] Installing glibc-gconv-extra- 100% | 271.2 MiB/s |   7.9 MiB |  00m00s
>>> Running post-install scriptlet: glibc-gconv-extra-0:2.39.9000-14.fc41.x86_64
>>> Stop post-install scriptlet: glibc-gconv-extra-0:2.39.9000-14.fc41.x86_64
[ 25/155] Installing zlib-ng-compat-0:2 100% | 131.7 MiB/s | 134.8 KiB |  00m00s
[ 26/155] Installing xz-libs-1:5.4.6-3. 100% | 206.0 MiB/s | 210.9 KiB |  00m00s
[ 27/155] Installing bzip2-libs-0:1.0.8 100% |  79.9 MiB/s |  81.8 KiB |  00m00s
[ 28/155] Installing popt-0:1.19-6.fc40 100% |  70.1 MiB/s | 143.5 KiB |  00m00s
[ 29/155] Installing readline-0:8.2-8.f 100% | 239.9 MiB/s | 491.4 KiB |  00m00s
[ 30/155] Installing libuuid-0:2.40-13. 100% |   0.0   B/s |  38.5 KiB |  00m00s
[ 31/155] Installing libstdc++-0:14.0.1 100% | 394.6 MiB/s |   2.8 MiB |  00m00s
[ 32/155] Installing libzstd-0:1.5.6-1. 100% | 385.3 MiB/s | 789.2 KiB |  00m00s
[ 33/155] Installing elfutils-libelf-0: 100% | 389.8 MiB/s |   1.2 MiB |  00m00s
[ 34/155] Installing libblkid-0:2.40-13 100% | 257.5 MiB/s | 263.7 KiB |  00m00s
[ 35/155] Installing gmp-1:6.3.0-1.fc41 100% | 393.4 MiB/s | 805.6 KiB |  00m00s
[ 36/155] Installing libattr-0:2.5.2-3. 100% |   0.0   B/s |  29.5 KiB |  00m00s
[ 37/155] Installing libacl-0:2.3.2-1.f 100% |   0.0   B/s |  40.8 KiB |  00m00s
[ 38/155] Installing libxcrypt-0:4.4.36 100% | 259.3 MiB/s | 265.5 KiB |  00m00s
[ 39/155] Installing libeconf-0:0.6.2-1 100% |  58.3 MiB/s |  59.6 KiB |  00m00s
[ 40/155] Installing lz4-libs-0:1.9.4-6 100% | 127.4 MiB/s | 130.5 KiB |  00m00s
[ 41/155] Installing gdbm-libs-1:1.23-6 100% | 120.7 MiB/s | 123.6 KiB |  00m00s
[ 42/155] Installing mpfr-0:4.2.1-3.fc4 100% | 271.3 MiB/s | 833.5 KiB |  00m00s
[ 43/155] Installing gawk-0:5.3.0-3.fc4 100% | 345.6 MiB/s |   1.7 MiB |  00m00s
[ 44/155] Installing dwz-0:0.15-6.fc40. 100% | 285.5 MiB/s | 292.3 KiB |  00m00s
[ 45/155] Installing unzip-0:6.0-63.fc4 100% | 377.3 MiB/s | 386.3 KiB |  00m00s
[ 46/155] Installing file-libs-0:5.45-5 100% | 709.3 MiB/s |   9.9 MiB |  00m00s
[ 47/155] Installing file-0:5.45-5.fc41 100% | 102.6 MiB/s | 105.0 KiB |  00m00s
[ 48/155] Installing pcre2-0:10.43-1.fc 100% | 319.8 MiB/s | 654.9 KiB |  00m00s
[ 49/155] Installing grep-0:3.11-7.fc40 100% | 250.8 MiB/s |   1.0 MiB |  00m00s
[ 50/155] Installing xz-1:5.4.6-3.fc41. 100% | 333.8 MiB/s |   2.0 MiB |  00m00s
[ 51/155] Installing libcap-ng-0:0.8.5- 100% |  69.3 MiB/s |  71.0 KiB |  00m00s
[ 52/155] Installing audit-libs-0:4.0.1 100% | 321.7 MiB/s | 329.5 KiB |  00m00s
[ 53/155] Installing pam-libs-0:1.6.1-1 100% | 134.2 MiB/s | 137.4 KiB |  00m00s
[ 54/155] Installing libcap-0:2.69-8.fc 100% | 109.7 MiB/s | 224.7 KiB |  00m00s
[ 55/155] Installing systemd-libs-0:255 100% | 385.3 MiB/s |   1.9 MiB |  00m00s
[ 56/155] Installing libsmartcols-0:2.4 100% | 177.3 MiB/s | 181.5 KiB |  00m00s
[ 57/155] Installing libsepol-0:3.6-3.f 100% | 392.1 MiB/s | 803.0 KiB |  00m00s
[ 58/155] Installing libselinux-0:3.6-4 100% | 170.2 MiB/s | 174.3 KiB |  00m00s
[ 59/155] Installing sed-0:4.9-1.fc40.x 100% | 212.3 MiB/s | 869.7 KiB |  00m00s
[ 60/155] Installing findutils-1:4.9.0- 100% | 293.2 MiB/s |   1.5 MiB |  00m00s
[ 61/155] Installing libmount-0:2.40-13 100% | 344.6 MiB/s | 352.9 KiB |  00m00s
[ 62/155] Installing lua-libs-0:5.4.6-5 100% | 275.7 MiB/s | 282.3 KiB |  00m00s
[ 63/155] Installing libcom_err-0:1.47. 100% |   0.0   B/s |  68.3 KiB |  00m00s
[ 64/155] Installing alternatives-0:1.2 100% |   0.0   B/s |  64.0 KiB |  00m00s
[ 65/155] Installing jansson-0:2.13.1-9 100% |  87.6 MiB/s |  89.7 KiB |  00m00s
[ 66/155] Installing libtasn1-0:4.19.0- 100% | 173.3 MiB/s | 177.5 KiB |  00m00s
[ 67/155] Installing libunistring-0:1.1 100% | 432.7 MiB/s |   1.7 MiB |  00m00s
[ 68/155] Installing libidn2-0:2.3.7-1. 100% | 163.6 MiB/s | 335.0 KiB |  00m00s
[ 69/155] Installing libpsl-0:0.21.5-3. 100% |  79.7 MiB/s |  81.6 KiB |  00m00s
[ 70/155] Installing util-linux-core-0: 100% | 247.3 MiB/s |   1.5 MiB |  00m00s
[ 71/155] Installing tar-2:1.35-3.fc40. 100% | 421.5 MiB/s |   3.0 MiB |  00m00s
[ 72/155] Installing libsemanage-0:3.6- 100% | 144.2 MiB/s | 295.3 KiB |  00m00s
[ 73/155] Installing shadow-utils-2:4.1 100% | 166.8 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
[ 74/155] Installing libutempter-0:1.2. 100% |  58.3 MiB/s |  59.7 KiB |  00m00s
[ 75/155] Installing zip-0:3.0-40.fc40. 100% | 345.3 MiB/s | 707.1 KiB |  00m00s
[ 76/155] Installing gdbm-1:1.23-6.fc40 100% | 227.4 MiB/s | 465.8 KiB |  00m00s
[ 77/155] Installing cyrus-sasl-lib-0:2 100% | 380.5 MiB/s |   2.3 MiB |  00m00s
[ 78/155] Installing zstd-0:1.5.6-1.fc4 100% | 419.0 MiB/s |   1.7 MiB |  00m00s
[ 79/155] Installing libfdisk-0:2.40-13 100% | 355.4 MiB/s | 363.9 KiB |  00m00s
[ 80/155] Installing bzip2-0:1.0.8-18.f 100% |  93.9 MiB/s |  96.2 KiB |  00m00s
[ 81/155] Installing libxml2-0:2.12.6-1 100% | 340.0 MiB/s |   1.7 MiB |  00m00s
[ 82/155] Installing sqlite-libs-0:3.45 100% | 351.3 MiB/s |   1.4 MiB |  00m00s
[ 83/155] Installing ed-0:1.20.2-1.fc41 100% | 145.7 MiB/s | 149.2 KiB |  00m00s
[ 84/155] Installing patch-0:2.7.6-24.f 100% | 258.1 MiB/s | 264.3 KiB |  00m00s
[ 85/155] Installing elfutils-default-y 100% | 408.6 KiB/s |   2.0 KiB |  00m00s
>>> Running post-install scriptlet: elfutils-default-yama-scope-0:0.191-7.fc41.n
>>> Stop post-install scriptlet: elfutils-default-yama-scope-0:0.191-7.fc41.noar
[ 86/155] Installing cpio-0:2.15-1.fc40 100% | 274.9 MiB/s |   1.1 MiB |  00m00s
[ 87/155] Installing diffutils-0:3.10-5 100% | 317.2 MiB/s |   1.6 MiB |  00m00s
[ 88/155] Installing libgomp-0:14.0.1-0 100% | 254.2 MiB/s | 520.6 KiB |  00m00s
[ 89/155] Installing keyutils-libs-0:1. 100% |  54.5 MiB/s |  55.8 KiB |  00m00s
[ 90/155] Installing libverto-0:0.3.2-8 100% |  30.5 MiB/s |  31.3 KiB |  00m00s
[ 91/155] Installing libpkgconf-0:2.1.0 100% |  73.6 MiB/s |  75.3 KiB |  00m00s
[ 92/155] Installing pkgconf-0:2.1.0-1. 100% |  82.9 MiB/s |  84.9 KiB |  00m00s
[ 93/155] Installing pkgconf-pkg-config 100% |   0.0   B/s |   1.8 KiB |  00m00s
[ 94/155] Installing libffi-0:3.4.6-1.f 100% |  81.8 MiB/s |  83.8 KiB |  00m00s
[ 95/155] Installing p11-kit-0:0.25.3-4 100% | 274.3 MiB/s |   2.2 MiB |  00m00s
[ 96/155] Installing p11-kit-trust-0:0. 100% |  54.8 MiB/s | 393.1 KiB |  00m00s
>>> Running post-install scriptlet: p11-kit-trust-0:0.25.3-4.fc40.x86_64
>>> Stop post-install scriptlet: p11-kit-trust-0:0.25.3-4.fc40.x86_64
[ 97/155] Installing xxhash-libs-0:0.8. 100% |  87.8 MiB/s |  89.9 KiB |  00m00s
[ 98/155] Installing libbrotli-0:1.1.0- 100% | 270.8 MiB/s | 831.8 KiB |  00m00s
[ 99/155] Installing libnghttp2-0:1.61. 100% | 163.3 MiB/s | 167.2 KiB |  00m00s
[100/155] Installing libtool-ltdl-0:2.4 100% |  65.7 MiB/s |  67.3 KiB |  00m00s
[101/155] Installing rust-srpm-macros-0 100% |   0.0   B/s |   5.6 KiB |  00m00s
[102/155] Installing qt6-srpm-macros-0: 100% |   0.0   B/s | 732.0   B |  00m00s
[103/155] Installing qt5-srpm-macros-0: 100% |   0.0   B/s | 768.0   B |  00m00s
[104/155] Installing perl-srpm-macros-0 100% |   0.0   B/s |   1.1 KiB |  00m00s
[105/155] Installing package-notes-srpm 100% |   0.0   B/s |   2.0 KiB |  00m00s
[106/155] Installing openblas-srpm-macr 100% |   0.0   B/s | 392.0   B |  00m00s
[107/155] Installing ocaml-srpm-macros- 100% |   0.0   B/s |   2.2 KiB |  00m00s
[108/155] Installing kernel-srpm-macros 100% |   0.0   B/s |   2.3 KiB |  00m00s
[109/155] Installing gnat-srpm-macros-0 100% |   0.0   B/s |   1.3 KiB |  00m00s
[110/155] Installing ghc-srpm-macros-0: 100% |   0.0   B/s |   1.0 KiB |  00m00s
[111/155] Installing fpc-srpm-macros-0: 100% |   0.0   B/s | 420.0   B |  00m00s
[112/155] Installing ansible-srpm-macro 100% |  35.4 MiB/s |  36.2 KiB |  00m00s
[113/155] Installing coreutils-common-0 100% | 430.4 MiB/s |  11.2 MiB |  00m00s
[114/155] Installing openssl-libs-1:3.2 100% | 458.6 MiB/s |   7.8 MiB |  00m00s
[115/155] Installing coreutils-0:9.5-1. 100% | 294.2 MiB/s |   5.6 MiB |  00m00s
>>> Running pre-install scriptlet: ca-certificates-0:2023.2.62_v7.0.401-6.fc40.n
>>> Stop pre-install scriptlet: ca-certificates-0:2023.2.62_v7.0.401-6.fc40.noar
[116/155] Installing ca-certificates-0: 100% |   4.3 MiB/s |   2.3 MiB |  00m01s
>>> Running post-install scriptlet: ca-certificates-0:2023.2.62_v7.0.401-6.fc40.
>>> Stop post-install scriptlet: ca-certificates-0:2023.2.62_v7.0.401-6.fc40.noa
[117/155] Installing krb5-libs-0:1.21.2 100% | 286.8 MiB/s |   2.3 MiB |  00m00s
[118/155] Installing libtirpc-0:1.3.4-1 100% | 199.8 MiB/s | 204.6 KiB |  00m00s
[119/155] Installing gzip-0:1.13-1.fc40 100% | 190.7 MiB/s | 390.6 KiB |  00m00s
[120/155] Installing authselect-libs-0: 100% | 203.4 MiB/s | 833.2 KiB |  00m00s
[121/155] Installing libarchive-0:3.7.2 100% | 298.4 MiB/s | 916.6 KiB |  00m00s
[122/155] Installing authselect-0:1.5.0 100% |  77.1 MiB/s | 157.9 KiB |  00m00s
[123/155] Installing cracklib-0:2.9.11- 100% |  81.5 MiB/s | 250.3 KiB |  00m00s
[124/155] Installing libpwquality-0:1.4 100% | 105.0 MiB/s | 430.1 KiB |  00m00s
[125/155] Installing libnsl2-0:2.0.1-1. 100% |  57.7 MiB/s |  59.0 KiB |  00m00s
[126/155] Installing pam-0:1.6.1-1.fc41 100% | 165.0 MiB/s |   1.8 MiB |  00m00s
[127/155] Installing libssh-0:0.10.6-6. 100% | 251.7 MiB/s | 515.4 KiB |  00m00s
[128/155] Installing rpm-sequoia-0:1.6. 100% | 371.5 MiB/s |   2.2 MiB |  00m00s
[129/155] Installing rpm-libs-0:4.19.1. 100% | 347.4 MiB/s | 711.4 KiB |  00m00s
[130/155] Installing libevent-0:2.1.12- 100% | 292.8 MiB/s | 899.4 KiB |  00m00s
[131/155] Installing openldap-0:2.6.7-1 100% | 312.0 MiB/s | 638.9 KiB |  00m00s
[132/155] Installing libcurl-0:8.7.1-1. 100% | 388.0 MiB/s | 794.6 KiB |  00m00s
[133/155] Installing elfutils-libs-0:0. 100% | 316.4 MiB/s | 648.0 KiB |  00m00s
[134/155] Installing elfutils-debuginfo 100% |  65.3 MiB/s |  66.9 KiB |  00m00s
[135/155] Installing binutils-gold-0:2. 100% | 184.6 MiB/s |   2.0 MiB |  00m00s
>>> Running post-install scriptlet: binutils-gold-0:2.42.50-6.fc41.x86_64
>>> Stop post-install scriptlet: binutils-gold-0:2.42.50-6.fc41.x86_64
[136/155] Installing binutils-0:2.42.50 100% | 412.8 MiB/s |  27.2 MiB |  00m00s
>>> Running post-install scriptlet: binutils-0:2.42.50-6.fc41.x86_64
>>> Stop post-install scriptlet: binutils-0:2.42.50-6.fc41.x86_64
[137/155] Installing elfutils-0:0.191-7 100% | 364.6 MiB/s |   2.6 MiB |  00m00s
[138/155] Installing gdb-minimal-0:14.2 100% | 436.4 MiB/s |  12.7 MiB |  00m00s
[139/155] Installing debugedit-0:5.0-14 100% | 197.0 MiB/s | 201.7 KiB |  00m00s
[140/155] Installing rpm-build-libs-0:4 100% | 194.5 MiB/s | 199.2 KiB |  00m00s
[141/155] Installing curl-0:8.7.1-1.fc4 100% |  82.5 MiB/s | 760.6 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
[142/155] Installing rpm-0:4.19.1.1-1.f 100% | 184.4 MiB/s |   2.4 MiB |  00m00s
[143/155] Installing efi-srpm-macros-0: 100% |   0.0   B/s |  41.2 KiB |  00m00s
[144/155] Installing lua-srpm-macros-0: 100% |   0.0   B/s |   1.9 KiB |  00m00s
[145/155] Installing zig-srpm-macros-0: 100% |   0.0   B/s |   1.7 KiB |  00m00s
[146/155] Installing fonts-srpm-macros- 100% |   0.0   B/s |  56.5 KiB |  00m00s
[147/155] Installing forge-srpm-macros- 100% |   0.0   B/s |  40.3 KiB |  00m00s
[148/155] Installing go-srpm-macros-0:3 100% |  60.5 MiB/s |  62.0 KiB |  00m00s
[149/155] Installing python-srpm-macros 100% |  50.5 MiB/s |  51.7 KiB |  00m00s
[150/155] Installing redhat-rpm-config- 100% | 185.3 MiB/s | 189.7 KiB |  00m00s
[151/155] Installing rpm-build-0:4.19.1 100% |  88.8 MiB/s | 182.0 KiB |  00m00s
[152/155] Installing pyproject-srpm-mac 100% |   2.0 MiB/s |   2.1 KiB |  00m00s
[153/155] Installing util-linux-0:2.40- 100% | 196.7 MiB/s |   3.7 MiB |  00m00s
>>> Running post-install scriptlet: util-linux-0:2.40-13.fc41.x86_64
>>> Stop post-install scriptlet: util-linux-0:2.40-13.fc41.x86_64
[154/155] Installing which-0:2.21-41.fc 100% |  80.5 MiB/s |  82.4 KiB |  00m00s
[155/155] Installing info-0:7.1-2.fc40. 100% | 415.0 KiB/s | 358.2 KiB |  00m01s
>>> Running post-transaction scriptlet: filesystem-0:3.18-9.fc41.x86_64
>>> Stop post-transaction scriptlet: filesystem-0:3.18-9.fc41.x86_64
>>> Running post-transaction scriptlet: ca-certificates-0:2023.2.62_v7.0.401-6.f
>>> Stop post-transaction scriptlet: ca-certificates-0:2023.2.62_v7.0.401-6.fc40
>>> Running post-transaction scriptlet: authselect-libs-0:1.5.0-5.fc41.x86_64
>>> Stop post-transaction scriptlet: authselect-libs-0:1.5.0-5.fc41.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-0:2.39.9000-14.fc41.x86_64
>>> Stop trigger-install scriptlet: glibc-common-0:2.39.9000-14.fc41.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-1.26-3.fc40.x86_64
ansible-srpm-macros-1-15.fc41.noarch
audit-libs-4.0.1-1.fc41.x86_64
authselect-1.5.0-5.fc41.x86_64
authselect-libs-1.5.0-5.fc41.x86_64
basesystem-11-20.fc40.noarch
bash-5.2.26-3.fc40.x86_64
binutils-2.42.50-6.fc41.x86_64
binutils-gold-2.42.50-6.fc41.x86_64
bzip2-1.0.8-18.fc40.x86_64
bzip2-libs-1.0.8-18.fc40.x86_64
ca-certificates-2023.2.62_v7.0.401-6.fc40.noarch
coreutils-9.5-1.fc41.x86_64
coreutils-common-9.5-1.fc41.x86_64
cpio-2.15-1.fc40.x86_64
cracklib-2.9.11-5.fc40.x86_64
crypto-policies-20240320-1.git58e3d95.fc41.noarch
curl-8.7.1-1.fc41.x86_64
cyrus-sasl-lib-2.1.28-19.fc40.x86_64
debugedit-5.0-14.fc40.x86_64
diffutils-3.10-5.fc40.x86_64
dwz-0.15-6.fc40.x86_64
ed-1.20.2-1.fc41.x86_64
efi-srpm-macros-5-11.fc40.noarch
elfutils-0.191-7.fc41.x86_64
elfutils-debuginfod-client-0.191-7.fc41.x86_64
elfutils-default-yama-scope-0.191-7.fc41.noarch
elfutils-libelf-0.191-7.fc41.x86_64
elfutils-libs-0.191-7.fc41.x86_64
fedora-gpg-keys-41-0.1.noarch
fedora-release-41-0.9.noarch
fedora-release-common-41-0.9.noarch
fedora-release-identity-basic-41-0.9.noarch
fedora-repos-41-0.1.noarch
fedora-repos-rawhide-41-0.1.noarch
file-5.45-5.fc41.x86_64
file-libs-5.45-5.fc41.x86_64
filesystem-3.18-9.fc41.x86_64
findutils-4.9.0-8.fc40.x86_64
fonts-srpm-macros-2.0.5-14.fc40.noarch
forge-srpm-macros-0.3.1-1.fc41.noarch
fpc-srpm-macros-1.3-12.fc40.noarch
gawk-5.3.0-3.fc40.x86_64
gdb-minimal-14.2-5.fc41.x86_64
gdbm-1.23-6.fc40.x86_64
gdbm-libs-1.23-6.fc40.x86_64
ghc-srpm-macros-1.9.1-1.fc41.noarch
glibc-2.39.9000-14.fc41.x86_64
glibc-common-2.39.9000-14.fc41.x86_64
glibc-gconv-extra-2.39.9000-14.fc41.x86_64
glibc-minimal-langpack-2.39.9000-14.fc41.x86_64
gmp-6.3.0-1.fc41.x86_64
gnat-srpm-macros-6-5.fc40.noarch
go-srpm-macros-3.6.0-1.fc41.noarch
gpg-pubkey-a15b79cc-63d04c2c
gpg-pubkey-e99d6ad1-64d2612c
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
kernel-srpm-macros-1.0-23.fc41.noarch
keyutils-libs-1.6.3-3.fc40.x86_64
krb5-libs-1.21.2-5.fc40.x86_64
libacl-2.3.2-1.fc40.x86_64
libarchive-3.7.2-3.fc41.x86_64
libattr-2.5.2-3.fc40.x86_64
libblkid-2.40-13.fc41.x86_64
libbrotli-1.1.0-3.fc40.x86_64
libcap-2.69-8.fc41.x86_64
libcap-ng-0.8.5-1.fc41.x86_64
libcom_err-1.47.0-5.fc40.x86_64
libcurl-8.7.1-1.fc41.x86_64
libeconf-0.6.2-1.fc41.x86_64
libevent-2.1.12-12.fc40.x86_64
libfdisk-2.40-13.fc41.x86_64
libffi-3.4.6-1.fc41.x86_64
libgcc-14.0.1-0.15.fc41.x86_64
libgomp-14.0.1-0.15.fc41.x86_64
libidn2-2.3.7-1.fc40.x86_64
libmount-2.40-13.fc41.x86_64
libnghttp2-1.61.0-1.fc41.x86_64
libnsl2-2.0.1-1.fc40.x86_64
libpkgconf-2.1.0-1.fc40.x86_64
libpsl-0.21.5-3.fc40.x86_64
libpwquality-1.4.5-9.fc40.x86_64
libselinux-3.6-4.fc40.x86_64
libsemanage-3.6-3.fc40.x86_64
libsepol-3.6-3.fc40.x86_64
libsmartcols-2.40-13.fc41.x86_64
libssh-0.10.6-6.fc41.x86_64
libssh-config-0.10.6-6.fc41.noarch
libstdc++-14.0.1-0.15.fc41.x86_64
libtasn1-4.19.0-6.fc40.x86_64
libtirpc-1.3.4-1.rc3.fc41.x86_64
libtool-ltdl-2.4.7-10.fc40.x86_64
libunistring-1.1-7.fc41.x86_64
libutempter-1.2.1-13.fc40.x86_64
libuuid-2.40-13.fc41.x86_64
libverto-0.3.2-8.fc40.x86_64
libxcrypt-4.4.36-5.fc40.x86_64
libxml2-2.12.6-1.fc41.x86_64
libzstd-1.5.6-1.fc41.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-4.2.1-3.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-2-17.fc41.noarch
openldap-2.6.7-1.fc40.x86_64
openssl-libs-3.2.1-6.fc41.x86_64
p11-kit-0.25.3-4.fc40.x86_64
p11-kit-trust-0.25.3-4.fc40.x86_64
package-notes-srpm-macros-0.5-11.fc40.noarch
pam-1.6.1-1.fc41.x86_64
pam-libs-1.6.1-1.fc41.x86_64
patch-2.7.6-24.fc40.x86_64
pcre2-10.43-1.fc41.x86_64
pcre2-syntax-10.43-1.fc41.noarch
perl-srpm-macros-1-53.fc40.noarch
pkgconf-2.1.0-1.fc40.x86_64
pkgconf-m4-2.1.0-1.fc40.noarch
pkgconf-pkg-config-2.1.0-1.fc40.x86_64
popt-1.19-6.fc40.x86_64
publicsuffix-list-dafsa-20240107-3.fc40.noarch
pyproject-srpm-macros-1.12.0-1.fc40.noarch
python-srpm-macros-3.12-9.fc41.noarch
qt5-srpm-macros-5.15.13-1.fc41.noarch
qt6-srpm-macros-6.7.0-1.fc41.noarch
readline-8.2-8.fc40.x86_64
redhat-rpm-config-288-1.fc41.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-1.6.0-2.fc40.x86_64
rust-srpm-macros-26.2-1.fc41.noarch
sed-4.9-1.fc40.x86_64
setup-2.14.5-2.fc40.noarch
shadow-utils-4.15.1-2.fc41.x86_64
sqlite-libs-3.45.2-1.fc41.x86_64
systemd-libs-255.5-1.fc41.x86_64
tar-1.35-3.fc40.x86_64
unzip-6.0-63.fc40.x86_64
util-linux-2.40-13.fc41.x86_64
util-linux-core-2.40-13.fc41.x86_64
which-2.21-41.fc40.x86_64
xxhash-libs-0.8.2-2.fc40.x86_64
xz-5.4.6-3.fc41.x86_64
xz-libs-5.4.6-3.fc41.x86_64
zig-srpm-macros-1-2.fc40.noarch
zip-3.0-40.fc40.x86_64
zlib-ng-compat-2.1.6-2.fc40.x86_64
zstd-1.5.6-1.fc41.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-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.src.rpm

RPM build warnings:
    source_date_epoch_from_changelog set but %changelog is missing
Finish: rpmbuild -bs
cp: preserving permissions for ‘/var/lib/copr-rpmbuild/results/chroot_scan/var/lib/mock/fedora-rawhide-x86_64-1714106898.767203/root/var/log’: No such file or directory
INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan
INFO: /var/lib/mock/fedora-rawhide-x86_64-1714106898.767203/root/var/log/dnf5.log
Finish: buildsrpm
INFO: Done(/var/lib/copr-rpmbuild/workspace/workdir-l4jon81r/R-CRAN-RcppEigen/R-CRAN-RcppEigen.spec) Config(child) 0 minutes 12 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-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.src.rpm)  Config(fedora-rawhide-x86_64)
Start: chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-1714106898.767203/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-4.19.2-1.fc39.noarch
  python3-dnf-plugins-core-4.6.0-1.fc39.noarch
  yum-4.19.2-1.fc39.noarch
  dnf5-5.1.17-1.fc39.x86_64
  dnf5-plugins-5.1.17-1.fc39.x86_64
Finish: chroot init
Start: build phase for R-CRAN-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.src.rpm
Start: build setup for R-CRAN-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.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-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.src.rpm

RPM build warnings:
    source_date_epoch_from_changelog set but %changelog is missing
Updating and loading repositories:
 fedora                                 100% | 387.8 KiB/s |  19.4 KiB |  00m00s
 Copr repository                        100% |  70.0 KiB/s |   1.5 KiB |  00m00s
Repositories loaded.
Package                      Arch   Version                          Repository      Size
Installing:                                                                              
 R-CRAN-Rcpp                 x86_64 1.0.12-1.fc41.copr7349917        copr_base    8.3 MiB
 R-core                      x86_64 4.4.0-1.fc41~bootstrap           copr_base  100.5 MiB
 R-devel                     x86_64 4.4.0-1.fc41~bootstrap           copr_base    0.0   B
Installing dependencies:                                                                 
 R-core-devel                x86_64 4.4.0-1.fc41~bootstrap           copr_base  394.1 KiB
 R-java                      x86_64 4.4.0-1.fc41~bootstrap           copr_base    0.0   B
 R-java-devel                x86_64 4.4.0-1.fc41~bootstrap           copr_base    0.0   B
 R-littler                   x86_64 0.3.19-3.fc40                    fedora     189.7 KiB
 R-rpm-macros                noarch 1.2.1-9.fc40                     fedora       5.6 KiB
 abattis-cantarell-vf-fonts  noarch 0.301-12.fc40                    fedora     192.7 KiB
 alsa-lib                    x86_64 1.2.11-2.fc40                    fedora       1.4 MiB
 annobin-docs                noarch 12.51-1.fc41                     fedora      95.7 KiB
 annobin-plugin-gcc          x86_64 12.51-1.fc41                     fedora     970.9 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 3.28.3-4.fc41                    fedora       0.0   B
 copy-jdk-configs            noarch 4.1-5.fc40                       fedora      20.3 KiB
 cpp                         x86_64 14.0.1-0.15.fc41                 fedora      34.9 MiB
 crypto-policies-scripts     noarch 20240320-1.git58e3d95.fc41       fedora     323.2 KiB
 cups-libs                   x86_64 1:2.4.7-13.fc41                  fedora     618.8 KiB
 dbus-libs                   x86_64 1:1.14.10-3.fc40                 fedora     368.9 KiB
 default-fonts-core-sans     noarch 4.0-12.fc40                      fedora      11.9 KiB
 desktop-file-utils          x86_64 0.26-12.fc40                     fedora     226.0 KiB
 emacs-filesystem            noarch 1:30.0-2.fc41                    fedora       0.0   B
 expat                       x86_64 2.6.2-1.fc41                     fedora     280.8 KiB
 flexiblas                   x86_64 3.4.2-1.fc41                     fedora      46.9 KiB
 flexiblas-devel             x86_64 3.4.2-1.fc41                     fedora       4.7 MiB
 flexiblas-netlib            x86_64 3.4.2-1.fc41                     fedora      10.4 MiB
 flexiblas-netlib64          x86_64 3.4.2-1.fc41                     fedora      10.5 MiB
 flexiblas-openblas-openmp   x86_64 3.4.2-1.fc41                     fedora      39.3 KiB
 flexiblas-openblas-openmp64 x86_64 3.4.2-1.fc41                     fedora      39.3 KiB
 fontconfig                  x86_64 2.15.0-4.fc40                    fedora     767.3 KiB
 fontconfig-devel            x86_64 2.15.0-4.fc40                    fedora     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 1.0.13-4.fc40                    fedora     365.3 KiB
 gc                          x86_64 8.2.2-6.fc40                     fedora     258.7 KiB
 gcc                         x86_64 14.0.1-0.15.fc41                 fedora     103.9 MiB
 gcc-c++                     x86_64 14.0.1-0.15.fc41                 fedora      38.1 MiB
 gcc-gfortran                x86_64 14.0.1-0.15.fc41                 fedora      37.2 MiB
 gcc-plugin-annobin          x86_64 14.0.1-0.15.fc41                 fedora      57.1 KiB
 gettext                     x86_64 0.22.5-2.fc41                    fedora       5.2 MiB
 gettext-envsubst            x86_64 0.22.5-2.fc41                    fedora      74.9 KiB
 gettext-libs                x86_64 0.22.5-2.fc41                    fedora       1.7 MiB
 gettext-runtime             x86_64 0.22.5-2.fc41                    fedora     481.3 KiB
 glib2                       x86_64 2.80.0-1.fc41                    fedora      14.4 MiB
 glib2-devel                 x86_64 2.80.0-1.fc41                    fedora      15.4 MiB
 glibc-devel                 x86_64 2.39.9000-14.fc41                fedora      36.7 KiB
 glibc-headers-x86           noarch 2.39.9000-14.fc41                fedora       2.2 MiB
 gnutls                      x86_64 3.8.5-1.fc41                     fedora       3.2 MiB
 google-noto-fonts-common    noarch 20240401-1.fc41                  fedora      17.5 KiB
 google-noto-sans-vf-fonts   noarch 20240401-1.fc41                  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 8.4.0-1.fc41                     fedora       2.6 MiB
 harfbuzz-devel              x86_64 8.4.0-1.fc41                     fedora       5.1 MiB
 harfbuzz-icu                x86_64 8.4.0-1.fc41                     fedora      15.5 KiB
 java-21-openjdk             x86_64 1:21.0.2.0.13-3.fc41             fedora       1.1 MiB
 java-21-openjdk-devel       x86_64 1:21.0.2.0.13-3.fc41             fedora      11.2 MiB
 java-21-openjdk-headless    x86_64 1:21.0.2.0.13-3.fc41             fedora     204.9 MiB
 javapackages-filesystem     noarch 6.2.0-9.fc41                     fedora       1.9 KiB
 jbigkit-libs                x86_64 2.1-29.fc40                      fedora     117.6 KiB
 kernel-headers              x86_64 6.9.0-0.rc5.44.fc41              fedora       6.3 MiB
 libICE                      x86_64 1.1.1-3.fc40                     fedora     181.2 KiB
 libRmath                    x86_64 4.4.0-1.fc41~bootstrap           copr_base  242.8 KiB
 libRmath-devel              x86_64 4.4.0-1.fc41~bootstrap           copr_base   17.4 KiB
 libSM                       x86_64 1.2.4-3.fc40                     fedora      97.3 KiB
 libX11                      x86_64 1.8.9-1.fc41                     fedora       1.3 MiB
 libX11-common               noarch 1.8.9-1.fc41                     fedora       1.1 MiB
 libX11-devel                x86_64 1.8.9-1.fc41                     fedora       1.0 MiB
 libX11-xcb                  x86_64 1.8.9-1.fc41                     fedora      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 1.8.1-5.fc40                     fedora      80.7 KiB
 libXmu                      x86_64 1.2.1-1.fc41                     fedora     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 1.2.4-6.fc40                     fedora      33.6 KiB
 libb2                       x86_64 0.98.1-11.fc40                   fedora      42.2 KiB
 libblkid-devel              x86_64 2.40-13.fc41                     fedora      44.9 KiB
 libdatrie                   x86_64 0.2.13-9.fc40                    fedora      57.9 KiB
 libffi-devel                x86_64 3.4.6-1.fc41                     fedora      33.1 KiB
 libfontenc                  x86_64 1.1.8-1.fc41                     fedora      67.0 KiB
 libgfortran                 x86_64 14.0.1-0.15.fc41                 fedora       2.9 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 3.0.2-2.fc41                     fedora     772.9 KiB
 liblerc                     x86_64 4.0.0-6.fc40                     fedora     603.5 KiB
 libmount-devel              x86_64 2.40-13.fc41                     fedora      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 14.0.1-0.15.fc41                 fedora     325.9 KiB
 libquadmath-devel           x86_64 14.0.1-0.15.fc41                 fedora      21.8 KiB
 libselinux-devel            x86_64 3.6-4.fc40                       fedora     126.1 KiB
 libsepol-devel              x86_64 3.6-3.fc40                       fedora     120.2 KiB
 libstdc++-devel             x86_64 14.0.1-0.15.fc41                 fedora      15.4 MiB
 libtextstyle                x86_64 0.22.5-2.fc41                    fedora     195.6 KiB
 libthai                     x86_64 0.1.29-8.fc40                    fedora     783.5 KiB
 libtiff                     x86_64 4.6.0-2.fc40                     fedora       1.1 MiB
 libtirpc-devel              x86_64 1.3.4-1.rc3.fc41                 fedora     251.6 KiB
 libwebp                     x86_64 1.4.0-1.fc41                     fedora     802.7 KiB
 libxcb                      x86_64 1.17.0-1.fc41                    fedora       1.1 MiB
 libxcb-devel                x86_64 1.17.0-1.fc41                    fedora       2.7 MiB
 libxcrypt-devel             x86_64 4.4.36-5.fc40                    fedora      30.3 KiB
 libxml2-devel               x86_64 2.12.6-1.fc41                    fedora       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 4.35.0-22.fc41                   fedora     312.7 KiB
 nss                         x86_64 3.99.0-1.fc41                    fedora       1.9 MiB
 nss-softokn                 x86_64 3.99.0-1.fc41                    fedora       1.9 MiB
 nss-softokn-freebl          x86_64 3.99.0-1.fc41                    fedora     896.6 KiB
 nss-sysinit                 x86_64 3.99.0-1.fc41                    fedora      18.2 KiB
 nss-util                    x86_64 3.99.0-1.fc41                    fedora     226.1 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 1.52.2-1.fc41                    fedora     995.8 KiB
 pcre2-devel                 x86_64 10.43-1.fc41                     fedora       2.0 MiB
 pcre2-utf16                 x86_64 10.43-1.fc41                     fedora     590.1 KiB
 pcre2-utf32                 x86_64 10.43-1.fc41                     fedora     557.9 KiB
 pixman                      x86_64 0.43.4-1.fc41                    fedora     710.1 KiB
 pixman-devel                x86_64 0.43.4-1.fc41                    fedora      49.4 KiB
 python-pip-wheel            noarch 24.0-2.fc41                      fedora       1.5 MiB
 python3                     x86_64 3.12.3-2.fc41                    fedora      31.5 KiB
 python3-libs                x86_64 3.12.3-2.fc41                    fedora      40.9 MiB
 python3-packaging           noarch 24.0-1.fc41                      fedora     424.8 KiB
 sysprof-capture-devel       x86_64 46.0-1.fc41                      fedora     252.8 KiB
 tcl                         x86_64 1:8.6.14-1.fc41                  fedora       4.2 MiB
 tcl-devel                   x86_64 1:8.6.14-1.fc41                  fedora     791.4 KiB
 tk                          x86_64 1:8.6.14-1.fc41                  fedora       3.6 MiB
 tk-devel                    x86_64 1:8.6.14-1.fc41                  fedora     985.0 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.fc41                     fedora       1.6 MiB
 tzdata-java                 noarch 2024a-5.fc41                     fedora     101.7 KiB
 xdg-utils                   noarch 1.2.1-1.fc41                     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 2024.1-1.fc41                    fedora       1.7 MiB
 xz-devel                    x86_64 1:5.4.6-3.fc41                   fedora     255.8 KiB
 zlib-ng-compat-devel        x86_64 2.1.6-2.fc40                     fedora     103.4 KiB

Transaction Summary:
 Installing:      160 packages

Total size of inbound packages is 280 MiB. Need to download 280 MiB.
After this operation 924 MiB will be used (install 924 MiB, remove 0 B).
[  1/160] R-devel-0:4.4.0-1.fc41~bootst 100% | 894.9 KiB/s |  10.7 KiB |  00m00s
[  2/160] R-CRAN-Rcpp-0:1.0.12-1.fc41.c 100% |  90.6 MiB/s |   2.0 MiB |  00m00s
[  3/160] R-rpm-macros-0:1.2.1-9.fc40.n 100% |   1.8 MiB/s |  11.1 KiB |  00m00s
[  4/160] R-core-devel-0:4.4.0-1.fc41~b 100% |  21.5 MiB/s |  88.2 KiB |  00m00s
[  5/160] R-java-devel-0:4.4.0-1.fc41~b 100% |   3.5 MiB/s |  10.8 KiB |  00m00s
[  6/160] cairo-0:1.18.0-3.fc40.x86_64  100% |  27.7 MiB/s | 708.9 KiB |  00m00s
[  7/160] R-littler-0:0.3.19-3.fc40.x86 100% |   1.4 MiB/s |  76.3 KiB |  00m00s
[  8/160] glib2-0:2.80.0-1.fc41.x86_64  100% |  42.5 MiB/s |   3.0 MiB |  00m00s
[  9/160] flexiblas-netlib-0:3.4.2-1.fc 100% |  35.5 MiB/s |   3.2 MiB |  00m00s
[ 10/160] libX11-0:1.8.9-1.fc41.x86_64  100% |  37.2 MiB/s | 647.8 KiB |  00m00s
[ 11/160] libXmu-0:1.2.1-1.fc41.x86_64  100% |  19.0 MiB/s |  77.6 KiB |  00m00s
[ 12/160] libXt-0:1.3.0-3.fc40.x86_64   100% |  15.8 MiB/s | 177.5 KiB |  00m00s
[ 13/160] libjpeg-turbo-0:3.0.2-2.fc41. 100% |  27.6 MiB/s | 226.4 KiB |  00m00s
[ 14/160] R-core-0:4.4.0-1.fc41~bootstr 100% | 267.2 MiB/s |  62.5 MiB |  00m00s
[ 15/160] libpng-2:1.6.40-3.fc40.x86_64 100% |   2.1 MiB/s | 119.9 KiB |  00m00s
[ 16/160] libtiff-0:4.6.0-2.fc40.x86_64 100% |  40.6 MiB/s | 332.4 KiB |  00m00s
[ 17/160] pango-0:1.52.2-1.fc41.x86_64  100% |  30.8 MiB/s | 347.0 KiB |  00m00s
[ 18/160] tcl-1:8.6.14-1.fc41.x86_64    100% |  47.9 MiB/s |   1.1 MiB |  00m00s
[ 19/160] tre-0:0.8.0-43.20140228gitc2f 100% |  14.2 MiB/s |  43.5 KiB |  00m00s
[ 20/160] xdg-utils-0:1.2.1-1.fc41.noar 100% |  20.4 MiB/s |  83.6 KiB |  00m00s
[ 21/160] libRmath-0:4.4.0-1.fc41~boots 100% |  20.1 MiB/s | 123.7 KiB |  00m00s
[ 22/160] tk-1:8.6.14-1.fc41.x86_64     100% |  35.9 MiB/s |   1.6 MiB |  00m00s
[ 23/160] libRmath-devel-0:4.4.0-1.fc41 100% |  15.9 MiB/s |  16.3 KiB |  00m00s
[ 24/160] make-1:4.4.1-6.fc40.x86_64    100% |  26.1 MiB/s | 587.6 KiB |  00m00s
[ 25/160] R-java-0:4.4.0-1.fc41~bootstr 100% |  11.1 MiB/s |  11.3 KiB |  00m00s
[ 26/160] fontconfig-0:2.15.0-4.fc40.x8 100% |  37.6 MiB/s | 269.5 KiB |  00m00s
[ 27/160] freetype-0:2.13.2-5.fc40.x86_ 100% |  20.0 MiB/s | 409.7 KiB |  00m00s
[ 28/160] libXext-0:1.3.6-1.fc40.x86_64 100% |  19.0 MiB/s |  38.9 KiB |  00m00s
[ 29/160] libXrender-0:0.9.11-6.fc40.x8 100% |   8.9 MiB/s |  27.4 KiB |  00m00s
[ 30/160] libxcb-0:1.17.0-1.fc41.x86_64 100% |  33.4 MiB/s | 239.1 KiB |  00m00s
[ 31/160] libicu-0:74.2-1.fc40.x86_64   100% |  50.2 MiB/s |  10.4 MiB |  00m00s
[ 32/160] pixman-0:0.43.4-1.fc41.x86_64 100% |  16.9 MiB/s | 293.3 KiB |  00m00s
[ 33/160] flexiblas-openblas-openmp-0:3 100% |   8.6 MiB/s |  17.6 KiB |  00m00s
[ 34/160] flexiblas-0:3.4.2-1.fc41.x86_ 100% |   8.2 MiB/s |  25.1 KiB |  00m00s
[ 35/160] libquadmath-0:14.0.1-0.15.fc4 100% |  38.0 MiB/s | 194.7 KiB |  00m00s
[ 36/160] libgfortran-0:14.0.1-0.15.fc4 100% |  43.3 MiB/s | 931.6 KiB |  00m00s
[ 37/160] libX11-common-0:1.8.9-1.fc41. 100% |  15.6 MiB/s | 176.1 KiB |  00m00s
[ 38/160] gnutls-0:3.8.5-1.fc41.x86_64  100% |  36.8 MiB/s |   1.1 MiB |  00m00s
[ 39/160] libICE-0:1.1.1-3.fc40.x86_64  100% |  24.2 MiB/s |  74.5 KiB |  00m00s
[ 40/160] jbigkit-libs-0:2.1-29.fc40.x8 100% |  13.0 MiB/s |  53.1 KiB |  00m00s
[ 41/160] libSM-0:1.2.4-3.fc40.x86_64   100% |   8.4 MiB/s |  43.0 KiB |  00m00s
[ 42/160] libwebp-0:1.4.0-1.fc41.x86_64 100% |  40.6 MiB/s | 290.9 KiB |  00m00s
[ 43/160] fribidi-0:1.0.13-4.fc40.x86_6 100% |  22.3 MiB/s |  91.2 KiB |  00m00s
[ 44/160] liblerc-0:4.0.0-6.fc40.x86_64 100% |  10.8 MiB/s | 210.1 KiB |  00m00s
[ 45/160] libXft-0:2.3.8-6.fc40.x86_64  100% |  17.6 MiB/s |  72.1 KiB |  00m00s
[ 46/160] java-21-openjdk-devel-1:21.0. 100% |  34.1 MiB/s |   5.0 MiB |  00m00s
[ 47/160] libthai-0:0.1.29-8.fc40.x86_6 100% |  26.1 MiB/s | 213.8 KiB |  00m00s
[ 48/160] harfbuzz-0:8.4.0-1.fc41.x86_6 100% |  45.8 MiB/s |   1.0 MiB |  00m00s
[ 49/160] tre-common-0:0.8.0-43.2014022 100% |   6.1 MiB/s |  31.2 KiB |  00m00s
[ 50/160] desktop-file-utils-0:0.26-12. 100% |  13.3 MiB/s |  68.2 KiB |  00m00s
[ 51/160] java-21-openjdk-1:21.0.2.0.13 100% |  23.5 MiB/s | 433.1 KiB |  00m00s
[ 52/160] default-fonts-core-sans-0:4.0 100% |  10.3 MiB/s |  31.6 KiB |  00m00s
[ 53/160] fonts-filesystem-1:2.0.5-14.f 100% |   8.0 MiB/s |   8.2 KiB |  00m00s
[ 54/160] xml-common-0:0.6.3-63.fc40.no 100% |  10.1 MiB/s |  31.0 KiB |  00m00s
[ 55/160] libXau-0:1.0.11-6.fc40.x86_64 100% |  15.5 MiB/s |  31.7 KiB |  00m00s
[ 56/160] openblas-openmp-0:0.3.26-4.fc 100% |  48.2 MiB/s |   5.1 MiB |  00m00s
[ 57/160] nettle-0:3.9.1-6.fc40.x86_64  100% |  83.0 MiB/s | 424.9 KiB |  00m00s
[ 58/160] graphite2-0:1.3.14-15.fc40.x8 100% |  18.5 MiB/s |  94.8 KiB |  00m00s
[ 59/160] libdatrie-0:0.2.13-9.fc40.x86 100% |  15.6 MiB/s |  32.0 KiB |  00m00s
[ 60/160] emacs-filesystem-1:30.0-2.fc4 100% |   3.5 MiB/s |   7.1 KiB |  00m00s
[ 61/160] gc-0:8.2.2-6.fc40.x86_64      100% |  26.9 MiB/s | 110.2 KiB |  00m00s
[ 62/160] libXcomposite-0:0.4.6-3.fc40. 100% |   7.9 MiB/s |  24.2 KiB |  00m00s
[ 63/160] guile30-0:3.0.7-12.fc40.x86_6 100% |  47.9 MiB/s |   8.1 MiB |  00m00s
[ 64/160] libXi-0:1.8.1-5.fc40.x86_64   100% |   4.8 MiB/s |  39.7 KiB |  00m00s
[ 65/160] libXtst-0:1.2.4-6.fc40.x86_64 100% |   2.9 MiB/s |  20.4 KiB |  00m00s
[ 66/160] alsa-lib-0:1.2.11-2.fc40.x86_ 100% |  41.8 MiB/s | 513.9 KiB |  00m00s
[ 67/160] copy-jdk-configs-0:4.1-5.fc40 100% |   9.0 MiB/s |  27.6 KiB |  00m00s
[ 68/160] javapackages-filesystem-0:6.2 100% |   4.0 MiB/s |  12.3 KiB |  00m00s
[ 69/160] lksctp-tools-0:1.0.19-6.fc40. 100% |  18.0 MiB/s |  92.1 KiB |  00m00s
[ 70/160] xorg-x11-fonts-Type1-0:7.5-38 100% |  15.4 MiB/s | 504.1 KiB |  00m00s
[ 71/160] tzdata-java-0:2024a-5.fc41.no 100% |  15.3 MiB/s |  47.1 KiB |  00m00s
[ 72/160] abattis-cantarell-vf-fonts-0: 100% |  16.8 MiB/s | 120.3 KiB |  00m00s
[ 73/160] mkfontscale-0:1.2.2-6.fc40.x8 100% |  10.4 MiB/s |  31.8 KiB |  00m00s
[ 74/160] google-noto-sans-vf-fonts-0:2 100% |  41.4 MiB/s | 593.5 KiB |  00m00s
[ 75/160] ttmkfdir-0:3.0.9-70.fc40.x86_ 100% |   9.1 MiB/s |  56.0 KiB |  00m00s
[ 76/160] google-noto-fonts-common-0:20 100% |   8.5 MiB/s |  17.5 KiB |  00m00s
[ 77/160] lua-posix-0:36.2.1-6.fc40.x86 100% |  27.8 MiB/s | 142.4 KiB |  00m00s
[ 78/160] libfontenc-0:1.1.8-1.fc41.x86 100% |  10.5 MiB/s |  32.4 KiB |  00m00s
[ 79/160] bzip2-devel-0:1.0.8-18.fc40.x 100% |  34.8 MiB/s | 213.5 KiB |  00m00s
[ 80/160] flexiblas-devel-0:3.4.2-1.fc4 100% |  19.7 MiB/s | 121.0 KiB |  00m00s
[ 81/160] flexiblas-openblas-openmp64-0 100% |   8.6 MiB/s |  17.7 KiB |  00m00s
[ 82/160] openblas-openmp64-0:0.3.26-4. 100% |  49.9 MiB/s |   4.9 MiB |  00m00s
[ 83/160] flexiblas-netlib64-0:3.4.2-1. 100% |  23.7 MiB/s |   3.0 MiB |  00m00s
[ 84/160] gcc-c++-0:14.0.1-0.15.fc41.x8 100% |  58.2 MiB/s |  14.2 MiB |  00m00s
[ 85/160] libmpc-0:1.3.1-5.fc40.x86_64  100% |  17.4 MiB/s |  71.1 KiB |  00m00s
[ 86/160] annobin-plugin-gcc-0:12.51-1. 100% |  42.7 MiB/s | 961.0 KiB |  00m00s
[ 87/160] gcc-plugin-annobin-0:14.0.1-0 100% |  11.7 MiB/s |  47.8 KiB |  00m00s
[ 88/160] cpp-0:14.0.1-0.15.fc41.x86_64 100% |  29.3 MiB/s |  11.9 MiB |  00m00s
[ 89/160] annobin-docs-0:12.51-1.fc41.n 100% |  17.5 MiB/s |  89.4 KiB |  00m00s
[ 90/160] java-21-openjdk-headless-1:21 100% |  43.6 MiB/s |  47.8 MiB |  00m01s
[ 91/160] libX11-devel-0:1.8.9-1.fc41.x 100% |  48.5 MiB/s |   1.0 MiB |  00m00s
[ 92/160] libX11-xcb-0:1.8.9-1.fc41.x86 100% |   3.8 MiB/s |  11.8 KiB |  00m00s
[ 93/160] xorg-x11-proto-devel-0:2024.1 100% |  41.9 MiB/s | 300.5 KiB |  00m00s
[ 94/160] gcc-0:14.0.1-0.15.fc41.x86_64 100% |  44.4 MiB/s |  37.1 MiB |  00m01s
[ 95/160] libicu-devel-0:74.2-1.fc40.x8 100% |  14.0 MiB/s | 929.9 KiB |  00m00s
[ 96/160] libtirpc-devel-0:1.3.4-1.rc3. 100% |  30.3 MiB/s | 124.3 KiB |  00m00s
[ 97/160] pcre2-utf16-0:10.43-1.fc41.x8 100% |  16.7 MiB/s | 221.9 KiB |  00m00s
[ 98/160] pcre2-devel-0:10.43-1.fc41.x8 100% |  19.5 MiB/s | 519.8 KiB |  00m00s
[ 99/160] pcre2-utf32-0:10.43-1.fc41.x8 100% |  20.4 MiB/s | 209.3 KiB |  00m00s
[100/160] tcl-devel-1:8.6.14-1.fc41.x86 100% |  33.2 MiB/s | 170.1 KiB |  00m00s
[101/160] tre-devel-0:0.8.0-43.20140228 100% |   5.8 MiB/s |  11.8 KiB |  00m00s
[102/160] xz-devel-1:5.4.6-3.fc41.x86_6 100% |   7.3 MiB/s |  67.2 KiB |  00m00s
[103/160] zlib-ng-compat-devel-0:2.1.6- 100% |   8.8 MiB/s |  36.1 KiB |  00m00s
[104/160] tk-devel-1:8.6.14-1.fc41.x86_ 100% |  24.0 MiB/s | 541.1 KiB |  00m00s
[105/160] libXft-devel-0:2.3.8-6.fc40.x 100% |  16.3 MiB/s |  50.2 KiB |  00m00s
[106/160] openblas-0:0.3.26-4.fc40.x86_ 100% |  12.6 MiB/s |  38.6 KiB |  00m00s
[107/160] fontconfig-devel-0:2.15.0-4.f 100% |  32.2 MiB/s | 165.0 KiB |  00m00s
[108/160] gcc-gfortran-0:14.0.1-0.15.fc 100% |  55.6 MiB/s |  13.4 MiB |  00m00s
[109/160] gettext-libs-0:0.22.5-2.fc41. 100% |  46.4 MiB/s | 665.3 KiB |  00m00s
[110/160] gettext-runtime-0:0.22.5-2.fc 100% |  13.3 MiB/s | 122.6 KiB |  00m00s
[111/160] libtextstyle-0:0.22.5-2.fc41. 100% |  12.4 MiB/s |  88.7 KiB |  00m00s
[112/160] gettext-envsubst-0:0.22.5-2.f 100% |  18.6 MiB/s |  38.0 KiB |  00m00s
[113/160] libXrender-devel-0:0.9.11-6.f 100% |   3.7 MiB/s |  19.0 KiB |  00m00s
[114/160] gettext-0:0.22.5-2.fc41.x86_6 100% |  30.9 MiB/s |   1.1 MiB |  00m00s
[115/160] freetype-devel-0:2.13.2-5.fc4 100% |  44.2 MiB/s | 951.2 KiB |  00m00s
[116/160] cups-libs-1:2.4.7-13.fc41.x86 100% |  19.4 MiB/s | 258.5 KiB |  00m00s
[117/160] avahi-libs-0:0.8-26.fc40.x86_ 100% |  16.2 MiB/s |  66.5 KiB |  00m00s
[118/160] dbus-libs-1:1.14.10-3.fc40.x8 100% |  38.2 MiB/s | 156.3 KiB |  00m00s
[119/160] crypto-policies-scripts-0:202 100% |  29.5 MiB/s | 120.9 KiB |  00m00s
[120/160] nspr-0:4.35.0-22.fc41.x86_64  100% |  33.6 MiB/s | 137.4 KiB |  00m00s
[121/160] nss-0:3.99.0-1.fc41.x86_64    100% |  43.0 MiB/s | 703.8 KiB |  00m00s
[122/160] libxcb-devel-0:1.17.0-1.fc41. 100% |  38.9 MiB/s |   1.4 MiB |  00m00s
[123/160] nss-softokn-0:3.99.0-1.fc41.x 100% |  40.0 MiB/s | 409.5 KiB |  00m00s
[124/160] nss-sysinit-0:3.99.0-1.fc41.x 100% |   3.0 MiB/s |  18.7 KiB |  00m00s
[125/160] nss-util-0:3.99.0-1.fc41.x86_ 100% |  17.2 MiB/s |  88.2 KiB |  00m00s
[126/160] libquadmath-devel-0:14.0.1-0. 100% |  12.0 MiB/s |  36.8 KiB |  00m00s
[127/160] nss-softokn-freebl-0:3.99.0-1 100% |  37.7 MiB/s | 385.9 KiB |  00m00s
[128/160] glibc-devel-0:2.39.9000-14.fc 100% |  20.3 MiB/s | 124.7 KiB |  00m00s
[129/160] libxcrypt-devel-0:4.4.36-5.fc 100% |   7.0 MiB/s |  28.6 KiB |  00m00s
[130/160] brotli-devel-0:1.1.0-3.fc40.x 100% |  11.0 MiB/s |  33.8 KiB |  00m00s
[131/160] brotli-0:1.1.0-3.fc40.x86_64  100% |   6.5 MiB/s |  19.9 KiB |  00m00s
[132/160] glibc-headers-x86-0:2.39.9000 100% |  43.0 MiB/s | 616.0 KiB |  00m00s
[133/160] harfbuzz-icu-0:8.4.0-1.fc41.x 100% |   5.2 MiB/s |  16.1 KiB |  00m00s
[134/160] harfbuzz-devel-0:8.4.0-1.fc41 100% |  44.0 MiB/s | 451.0 KiB |  00m00s
[135/160] libpng-devel-2:1.6.40-3.fc40. 100% |  18.9 MiB/s | 290.6 KiB |  00m00s
[136/160] libxml2-devel-0:2.12.6-1.fc41 100% |  42.7 MiB/s | 524.7 KiB |  00m00s
[137/160] cmake-filesystem-0:3.28.3-4.f 100% |   8.7 MiB/s |  17.9 KiB |  00m00s
[138/160] libstdc++-devel-0:14.0.1-0.15 100% |  55.9 MiB/s |   2.7 MiB |  00m00s
[139/160] expat-0:2.6.2-1.fc41.x86_64   100% |  36.8 MiB/s | 113.2 KiB |  00m00s
[140/160] libb2-0:0.98.1-11.fc40.x86_64 100% |   8.3 MiB/s |  25.5 KiB |  00m00s
[141/160] python3-0:3.12.3-2.fc41.x86_6 100% |   1.9 MiB/s |  27.2 KiB |  00m00s
[142/160] mpdecimal-0:2.5.1-9.fc40.x86_ 100% |  17.3 MiB/s |  88.6 KiB |  00m00s
[143/160] tzdata-0:2024a-5.fc41.noarch  100% |  49.9 MiB/s | 716.0 KiB |  00m00s
[144/160] lua-0:5.4.6-5.fc40.x86_64     100% |  31.1 MiB/s | 190.8 KiB |  00m00s
[145/160] libXau-devel-0:1.0.11-6.fc40. 100% |   6.7 MiB/s |  13.7 KiB |  00m00s
[146/160] cairo-devel-0:1.18.0-3.fc40.x 100% |  31.4 MiB/s | 192.7 KiB |  00m00s
[147/160] glib2-devel-0:2.80.0-1.fc41.x 100% |  38.5 MiB/s |   1.5 MiB |  00m00s
[148/160] python-pip-wheel-0:24.0-2.fc4 100% |  19.7 MiB/s |   1.5 MiB |  00m00s
[149/160] graphite2-devel-0:1.3.14-15.f 100% |   6.7 MiB/s |  20.6 KiB |  00m00s
[150/160] python3-packaging-0:24.0-1.fc 100% |  17.6 MiB/s | 126.2 KiB |  00m00s
[151/160] libffi-devel-0:3.4.6-1.fc41.x 100% |   9.3 MiB/s |  28.7 KiB |  00m00s
[152/160] libmount-devel-0:2.40-13.fc41 100% |  13.2 MiB/s |  27.0 KiB |  00m00s
[153/160] libselinux-devel-0:3.6-4.fc40 100% |  36.8 MiB/s | 150.9 KiB |  00m00s
[154/160] libsepol-devel-0:3.6-3.fc40.x 100% |  15.9 MiB/s |  48.8 KiB |  00m00s
[155/160] sysprof-capture-devel-0:46.0- 100% |  26.2 MiB/s |  53.6 KiB |  00m00s
[156/160] libXext-devel-0:1.3.6-1.fc40. 100% |  14.0 MiB/s |  85.8 KiB |  00m00s
[157/160] pixman-devel-0:0.43.4-1.fc41. 100% |   5.6 MiB/s |  17.2 KiB |  00m00s
[158/160] libblkid-devel-0:2.40-13.fc41 100% |  12.8 MiB/s |  26.1 KiB |  00m00s
[159/160] kernel-headers-0:6.9.0-0.rc5. 100% |  22.8 MiB/s |   1.6 MiB |  00m00s
[160/160] python3-libs-0:3.12.3-2.fc41. 100% |  34.1 MiB/s |   9.1 MiB |  00m00s
--------------------------------------------------------------------------------
[160/160] Total                         100% | 117.7 MiB/s | 280.1 MiB |  00m02s
Running transaction
[  1/162] Verify package files          100% | 167.0   B/s | 160.0   B |  00m01s
>>> Running pre-transaction scriptlet: crypto-policies-scripts-0:20240320-1.git5
>>> Stop pre-transaction scriptlet: crypto-policies-scripts-0:20240320-1.git58e3
>>> Running pre-transaction scriptlet: copy-jdk-configs-0:4.1-5.fc40.noarch
>>> Stop pre-transaction scriptlet: copy-jdk-configs-0:4.1-5.fc40.noarch
>>> Running pre-transaction scriptlet: java-21-openjdk-headless-1:21.0.2.0.13-3.
>>> Stop pre-transaction scriptlet: java-21-openjdk-headless-1:21.0.2.0.13-3.fc4
[  2/162] Prepare transaction           100% |   1.2 KiB/s | 160.0   B |  00m00s
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[  6/162] Installing libgfortran-0:14.0 100% | 420.4 MiB/s |   2.9 MiB |  00m00s
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[  8/162] Installing libmpc-0:1.3.1-5.f 100% | 162.3 MiB/s | 166.2 KiB |  00m00s
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[ 11/162] Installing fonts-filesystem-1 100% | 769.5 KiB/s | 788.0   B |  00m00s
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[ 13/162] Installing libicu-0:74.2-1.fc 100% | 436.8 MiB/s |  34.9 MiB |  00m00s
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[ 19/162] Installing openblas-0:0.3.26- 100% |   0.0   B/s |  97.8 KiB |  00m00s
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[ 31/162] Installing libSM-0:1.2.4-3.fc 100% |  96.3 MiB/s |  98.6 KiB |  00m00s
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[ 34/162] Installing graphite2-devel-0: 100% |   0.0   B/s |  50.6 KiB |  00m00s
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[ 43/162] Installing abattis-cantarell- 100% | 189.9 MiB/s | 194.4 KiB |  00m00s
[ 44/162] Installing cpp-0:14.0.1-0.15. 100% | 448.1 MiB/s |  35.0 MiB |  00m00s
[ 45/162] Installing nss-softokn-freebl 100% | 292.5 MiB/s | 898.7 KiB |  00m00s
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[ 47/162] Installing libblkid-devel-0:2 100% |   0.0   B/s |  46.0 KiB |  00m00s
[ 48/162] Installing sysprof-capture-de 100% | 249.7 MiB/s | 255.7 KiB |  00m00s
[ 49/162] Installing libsepol-devel-0:3 100% | 124.7 MiB/s | 127.7 KiB |  00m00s
[ 50/162] Installing libffi-devel-0:3.4 100% |  17.0 MiB/s |  34.8 KiB |  00m00s
[ 51/162] Installing kernel-headers-0:6 100% | 255.9 MiB/s |   6.4 MiB |  00m00s
[ 52/162] Installing lua-0:5.4.6-5.fc40 100% | 117.3 MiB/s | 600.8 KiB |  00m00s
[ 53/162] Installing tzdata-0:2024a-5.f 100% |  73.1 MiB/s |   1.9 MiB |  00m00s
[ 54/162] Installing python-pip-wheel-0 100% | 764.0 MiB/s |   1.5 MiB |  00m00s
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[ 56/162] Installing libb2-0:0.98.1-11. 100% |   0.0   B/s |  43.3 KiB |  00m00s
[ 57/162] Installing expat-0:2.6.2-1.fc 100% |  46.0 MiB/s | 282.9 KiB |  00m00s
[ 58/162] Installing python3-libs-0:3.1 100% | 390.0 MiB/s |  41.3 MiB |  00m00s
[ 59/162] Installing python3-0:3.12.3-2 100% |  32.5 MiB/s |  33.2 KiB |  00m00s
[ 60/162] Installing crypto-policies-sc 100% | 110.1 MiB/s | 338.1 KiB |  00m00s
[ 61/162] Installing nss-sysinit-0:3.99 100% |  18.9 MiB/s |  19.3 KiB |  00m00s
[ 62/162] Installing nss-0:3.99.0-1.fc4 100% | 189.9 MiB/s |   1.9 MiB |  00m00s
>>> Running post-install scriptlet: nss-0:3.99.0-1.fc41.x86_64
>>> Stop post-install scriptlet: nss-0:3.99.0-1.fc41.x86_64
[ 63/162] Installing python3-packaging- 100% | 212.7 MiB/s | 435.6 KiB |  00m00s
[ 64/162] Installing cmake-filesystem-0 100% |   3.5 MiB/s |   7.1 KiB |  00m00s
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[ 68/162] Installing glibc-headers-x86- 100% | 207.5 MiB/s |   2.3 MiB |  00m00s
[ 69/162] Installing libxcrypt-devel-0: 100% |  31.8 MiB/s |  32.6 KiB |  00m00s
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[ 71/162] Installing libstdc++-devel-0: 100% | 431.6 MiB/s |  15.5 MiB |  00m00s
[ 72/162] Installing dbus-libs-1:1.14.1 100% | 180.7 MiB/s | 370.1 KiB |  00m00s
[ 73/162] Installing avahi-libs-0:0.8-2 100% | 164.9 MiB/s | 168.9 KiB |  00m00s
[ 74/162] Installing gettext-envsubst-0 100% |  74.6 MiB/s |  76.3 KiB |  00m00s
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[ 76/162] Installing gettext-0:0.22.5-2 100% | 402.7 MiB/s |   5.2 MiB |  00m00s
[ 77/162] Installing pcre2-utf32-0:10.4 100% | 272.8 MiB/s | 558.8 KiB |  00m00s
[ 78/162] Installing pcre2-utf16-0:10.4 100% | 288.5 MiB/s | 590.9 KiB |  00m00s
[ 79/162] Installing pcre2-devel-0:10.4 100% | 331.5 MiB/s |   2.0 MiB |  00m00s
[ 80/162] Installing libselinux-devel-0 100% |  52.3 MiB/s | 160.6 KiB |  00m00s
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[ 83/162] Installing libX11-xcb-0:1.8.9 100% |   0.0   B/s |  15.9 KiB |  00m00s
[ 84/162] Installing annobin-docs-0:12. 100% |  94.5 MiB/s |  96.8 KiB |  00m00s
[ 85/162] Installing libfontenc-0:1.1.8 100% |  66.8 MiB/s |  68.4 KiB |  00m00s
[ 86/162] Installing google-noto-fonts- 100% |   0.0   B/s |  18.3 KiB |  00m00s
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[ 88/162] Installing default-fonts-core 100% |  17.8 MiB/s |  18.2 KiB |  00m00s
[ 89/162] Installing lua-posix-0:36.2.1 100% | 150.1 MiB/s | 614.7 KiB |  00m00s
[ 90/162] Installing copy-jdk-configs-0 100% |   0.0   B/s |  21.0 KiB |  00m00s
[ 91/162] Installing tzdata-java-0:2024 100% |  99.7 MiB/s | 102.1 KiB |  00m00s
[ 92/162] Installing lksctp-tools-0:1.0 100% | 133.8 MiB/s | 274.0 KiB |  00m00s
[ 93/162] Installing javapackages-files 100% |   5.2 MiB/s |   5.3 KiB |  00m00s
[ 94/162] Installing alsa-lib-0:1.2.11- 100% | 277.5 MiB/s |   1.4 MiB |  00m00s
[ 95/162] Installing gc-0:8.2.2-6.fc40. 100% |  85.0 MiB/s | 261.2 KiB |  00m00s
[ 96/162] Installing guile30-0:3.0.7-12 100% | 515.8 MiB/s |  51.6 MiB |  00m00s
[ 97/162] Installing make-1:4.4.1-6.fc4 100% | 300.0 MiB/s |   1.8 MiB |  00m00s
[ 98/162] Installing gcc-0:14.0.1-0.15. 100% | 474.9 MiB/s | 104.0 MiB |  00m00s
>>> Running trigger-install scriptlet: redhat-rpm-config-0:288-1.fc41.noarch
>>> Stop trigger-install scriptlet: redhat-rpm-config-0:288-1.fc41.noarch
[ 99/162] Installing gcc-c++-0:14.0.1-0 100% | 443.2 MiB/s |  38.1 MiB |  00m00s
[100/162] Installing libquadmath-devel- 100% |  22.7 MiB/s |  23.2 KiB |  00m00s
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[102/162] Installing emacs-filesystem-1 100% |   0.0   B/s | 544.0   B |  00m00s
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[104/162] Installing libthai-0:0.1.29-8 100% | 383.4 MiB/s | 785.3 KiB |  00m00s
[105/162] Installing nettle-0:3.9.1-6.f 100% | 258.2 MiB/s | 793.3 KiB |  00m00s
[106/162] Installing gnutls-0:3.8.5-1.f 100% | 355.5 MiB/s |   3.2 MiB |  00m00s
[107/162] Installing glib2-0:2.80.0-1.f 100% | 438.6 MiB/s |  14.5 MiB |  00m00s
[108/162] Installing desktop-file-utils 100% | 224.4 MiB/s | 229.8 KiB |  00m00s
[109/162] Installing xdg-utils-0:1.2.1- 100% | 170.7 MiB/s | 349.5 KiB |  00m00s
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[111/162] Installing cups-libs-1:2.4.7- 100% | 201.9 MiB/s | 620.3 KiB |  00m00s
[112/162] Installing java-21-openjdk-he 100% | 492.7 MiB/s | 204.9 MiB |  00m00s
>>> Running post-install scriptlet: java-21-openjdk-headless-1:21.0.2.0.13-3.fc4
>>> Stop post-install scriptlet: java-21-openjdk-headless-1:21.0.2.0.13-3.fc41.x
>>> Running pre-install scriptlet: xml-common-0:0.6.3-63.fc40.noarch
>>> Stop pre-install scriptlet: xml-common-0:0.6.3-63.fc40.noarch
[113/162] Installing xml-common-0:0.6.3 100% |  79.2 MiB/s |  81.1 KiB |  00m00s
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[118/162] Installing libwebp-0:1.4.0-1. 100% | 262.6 MiB/s | 806.8 KiB |  00m00s
[119/162] Installing liblerc-0:4.0.0-6. 100% | 295.4 MiB/s | 605.0 KiB |  00m00s
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[126/162] Installing cairo-0:1.18.0-3.f 100% | 346.4 MiB/s |   1.7 MiB |  00m00s
[127/162] Installing harfbuzz-0:8.4.0-1 100% | 376.3 MiB/s |   2.6 MiB |  00m00s
[128/162] Installing freetype-0:2.13.2- 100% | 274.8 MiB/s | 844.3 KiB |  00m00s
[129/162] Installing fontconfig-0:2.15. 100% | 771.4 KiB/s | 786.0 KiB |  00m01s
>>> Running post-install scriptlet: fontconfig-0:2.15.0-4.fc40.x86_64
>>> Stop post-install scriptlet: fontconfig-0:2.15.0-4.fc40.x86_64
[130/162] Installing libX11-devel-0:1.8 100% |  93.3 MiB/s |   1.1 MiB |  00m00s
[131/162] Installing libXft-0:2.3.8-6.f 100% |  32.4 MiB/s | 166.0 KiB |  00m00s
>>> Running pre-install scriptlet: tk-1:8.6.14-1.fc41.x86_64
>>> Stop pre-install scriptlet: tk-1:8.6.14-1.fc41.x86_64
[132/162] Installing tk-1:8.6.14-1.fc41 100% | 280.9 MiB/s |   3.7 MiB |  00m00s
[133/162] Installing libXrender-devel-0 100% |   0.0   B/s |  51.0 KiB |  00m00s
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[136/162] Installing libXmu-0:1.2.1-1.f 100% |  30.8 MiB/s | 189.5 KiB |  00m00s
[137/162] Installing libXtst-0:1.2.4-6. 100% |   0.0   B/s |  34.7 KiB |  00m00s
[138/162] Installing pango-0:1.52.2-1.f 100% |  51.5 MiB/s |   1.0 MiB |  00m00s
[139/162] Installing R-core-0:4.4.0-1.f 100% | 300.4 MiB/s | 102.7 MiB |  00m00s
[140/162] Installing R-littler-0:0.3.19 100% |  95.7 MiB/s | 196.0 KiB |  00m00s
[141/162] Installing R-rpm-macros-0:1.2 100% |   0.0   B/s |   6.6 KiB |  00m00s
[142/162] Installing R-java-0:4.4.0-1.f 100% |   0.0   B/s | 124.0   B |  00m00s
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[144/162] Installing mkfontscale-0:1.2. 100% |  49.4 MiB/s |  50.6 KiB |  00m00s
[145/162] Installing ttmkfdir-0:3.0.9-7 100% | 120.9 MiB/s | 123.8 KiB |  00m00s
[146/162] Installing xorg-x11-fonts-Typ 100% |  27.3 MiB/s | 865.6 KiB |  00m00s
>>> Running post-install scriptlet: xorg-x11-fonts-Type1-0:7.5-38.fc40.noarch
>>> Stop post-install scriptlet: xorg-x11-fonts-Type1-0:7.5-38.fc40.noarch
[147/162] Installing harfbuzz-icu-0:8.4 100% |  15.9 MiB/s |  16.3 KiB |  00m00s
[148/162] Installing fontconfig-devel-0 100% |  37.1 MiB/s | 151.9 KiB |  00m00s
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[152/162] Installing libXft-devel-0:2.3 100% |  21.6 MiB/s |  44.3 KiB |  00m00s
[153/162] Installing tk-devel-1:8.6.14- 100% | 202.2 MiB/s |   1.0 MiB |  00m00s
[154/162] Installing R-core-devel-0:4.4 100% | 195.7 MiB/s | 400.7 KiB |  00m00s
[155/162] Installing libXcomposite-0:0. 100% |  45.0 MiB/s |  46.1 KiB |  00m00s
[156/162] Installing java-21-openjdk-1: 100% | 122.4 MiB/s |   1.1 MiB |  00m00s
>>> Running post-install scriptlet: java-21-openjdk-1:21.0.2.0.13-3.fc41.x86_64
>>> Stop post-install scriptlet: java-21-openjdk-1:21.0.2.0.13-3.fc41.x86_64
[157/162] Installing java-21-openjdk-de 100% | 468.3 MiB/s |  11.2 MiB |  00m00s
>>> Running post-install scriptlet: java-21-openjdk-devel-1:21.0.2.0.13-3.fc41.x
>>> Stop post-install scriptlet: java-21-openjdk-devel-1:21.0.2.0.13-3.fc41.x86_
[158/162] Installing R-java-devel-0:4.4 100% |   0.0   B/s | 124.0   B |  00m00s
[159/162] Installing R-devel-0:4.4.0-1. 100% | 121.1 KiB/s | 124.0   B |  00m00s
[160/162] Installing R-CRAN-Rcpp-0:1.0. 100% | 302.6 MiB/s |   8.5 MiB |  00m00s
[161/162] Installing annobin-plugin-gcc 100% |  86.3 MiB/s | 972.3 KiB |  00m00s
>>> Running trigger-install scriptlet: redhat-rpm-config-0:288-1.fc41.noarch
>>> Stop trigger-install scriptlet: redhat-rpm-config-0:288-1.fc41.noarch
[162/162] Installing gcc-plugin-annobin 100% | 127.1 KiB/s |  58.7 KiB |  00m00s
>>> Running trigger-install scriptlet: redhat-rpm-config-0:288-1.fc41.noarch
>>> Stop trigger-install scriptlet: redhat-rpm-config-0:288-1.fc41.noarch
>>> Running post-transaction scriptlet: crypto-policies-scripts-0:20240320-1.git
>>> Stop post-transaction scriptlet: crypto-policies-scripts-0:20240320-1.git58e
>>> Running post-transaction scriptlet: nss-0:3.99.0-1.fc41.x86_64
>>> Stop post-transaction scriptlet: nss-0:3.99.0-1.fc41.x86_64
>>> Running post-transaction scriptlet: copy-jdk-configs-0:4.1-5.fc40.noarch
>>> Stop post-transaction scriptlet: copy-jdk-configs-0:4.1-5.fc40.noarch
>>> Running post-transaction scriptlet: java-21-openjdk-headless-1:21.0.2.0.13-3
>>> Stop post-transaction scriptlet: java-21-openjdk-headless-1:21.0.2.0.13-3.fc
>>> Running post-transaction scriptlet: fontconfig-0:2.15.0-4.fc40.x86_64
>>> Stop post-transaction scriptlet: fontconfig-0:2.15.0-4.fc40.x86_64
>>> Running post-transaction scriptlet: java-21-openjdk-1:21.0.2.0.13-3.fc41.x86
>>> Stop post-transaction scriptlet: java-21-openjdk-1:21.0.2.0.13-3.fc41.x86_64
>>> Running post-transaction scriptlet: java-21-openjdk-devel-1:21.0.2.0.13-3.fc
>>> Stop post-transaction scriptlet: java-21-openjdk-devel-1:21.0.2.0.13-3.fc41.
>>> Running trigger-install scriptlet: glibc-common-0:2.39.9000-14.fc41.x86_64
>>> Stop trigger-install scriptlet: glibc-common-0:2.39.9000-14.fc41.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
>>> Running trigger-install scriptlet: glib2-0:2.80.0-1.fc41.x86_64
>>> Stop trigger-install scriptlet: glib2-0:2.80.0-1.fc41.x86_64
>>> Running trigger-install scriptlet: glib2-0:2.80.0-1.fc41.x86_64
>>> Stop trigger-install scriptlet: glib2-0:2.80.0-1.fc41.x86_64
>>> Running trigger-install scriptlet: desktop-file-utils-0:0.26-12.fc40.x86_64
>>> Stop trigger-install scriptlet: desktop-file-utils-0:0.26-12.fc40.x86_64
>>> Running trigger-install scriptlet: fontconfig-0:2.15.0-4.fc40.x86_64
>>> Stop trigger-install scriptlet: fontconfig-0:2.15.0-4.fc40.x86_64
Warning: skipped PGP checks for 8 package(s).
Finish: build setup for R-CRAN-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.src.rpm
Start: rpmbuild R-CRAN-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.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.g3FCer
+ umask 022
+ cd /builddir/build/BUILD
+ cd /builddir/build/BUILD
+ rm -rf RcppEigen
+ /usr/bin/mkdir -p RcppEigen
+ cd RcppEigen
+ /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/RcppEigen_0.3.4.0.0.tar.gz
+ STATUS=0
+ '[' 0 -ne 0 ']'
+ rm -rf /builddir/build/BUILD/RcppEigen-SPECPARTS
+ /usr/bin/mkdir -p /builddir/build/BUILD/RcppEigen-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 RcppEigen/src ']'
+ find RcppEigen/src -type f -exec sed -i s@/usr/bin/strip@/usr/bin/true@g '{}' ';'
+ '[' -d RcppEigen/src ']'
+ find RcppEigen/src/Makevars RcppEigen/src/Makevars.win -type f -exec sed -i s@-g0@@g '{}' ';'
+ 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.QxTG9y
+ 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 -mtls-dialect=gnu2 -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 -mtls-dialect=gnu2 -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 -mtls-dialect=gnu2 -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 -mtls-dialect=gnu2 -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-errors -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 RcppEigen
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.njhVrG
+ umask 022
+ cd /builddir/build/BUILD
+ '[' /builddir/build/BUILDROOT/R-CRAN-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.x86_64 '!=' / ']'
+ rm -rf /builddir/build/BUILDROOT/R-CRAN-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.x86_64
++ dirname /builddir/build/BUILDROOT/R-CRAN-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.x86_64
+ mkdir -p /builddir/build/BUILDROOT
+ mkdir /builddir/build/BUILDROOT/R-CRAN-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.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 -mtls-dialect=gnu2 -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 -mtls-dialect=gnu2 -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 -mtls-dialect=gnu2 -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 -mtls-dialect=gnu2 -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-errors -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 RcppEigen
+ mkdir -p /builddir/build/BUILDROOT/R-CRAN-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.x86_64/usr/local/lib/R/library
+ /usr/bin/R CMD INSTALL -l /builddir/build/BUILDROOT/R-CRAN-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.x86_64/usr/local/lib/R/library RcppEigen
* installing *source* package ‘RcppEigen’ ...
** package ‘RcppEigen’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
using C++ compiler: ‘g++ (GCC) 14.0.1 20240411 (Red Hat 14.0.1-0)’
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG  -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include   -I../inst/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 -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c RcppEigen.cpp -o RcppEigen.o
In file included from ../inst/include/Eigen/Core:205,
                 from ../inst/include/Eigen/Dense:1,
                 from ../inst/include/RcppEigenForward.h:28,
                 from ../inst/include/RcppEigen.h:25,
                 from RcppEigen.cpp:22:
../inst/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;
      |                                        ^
../inst/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;
      |                                        ^
../inst/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 }; };
      |                                       ^
../inst/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 }; };
      |                                        ^
../inst/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 }; };
      |                                        ^
../inst/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<Packet4f> {
      |                                           ^
../inst/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<Packet2d> {
      |                                           ^
../inst/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<Packet4f,4>& kernel) {
      |                                  ^
../inst/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<Packet2d,2>& kernel) {
      |                                  ^
In file included from ../inst/include/Eigen/Core:174:
../inst/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<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
../inst/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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
../inst/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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
../inst/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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
../inst/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 ../inst/include/Eigen/Core:165:
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:       |                                                         ^~~~~~~~~~~~
../inst/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:   266 |     Alignment = internal::traits<Coefficients>::Alignment,
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:       |                                                 ^~~~~~~~~
../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:    24 |     ResAlignment = traits<Quaternion<float> >::Alignment
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:       |                                              ^~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from ../inst/include/Eigen/Core:271:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   178 | class Matrix
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~
../inst/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                  ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~
../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    27 |   {
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |   ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^~~~~~~~~~~~
../inst/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   266 |     Alignment = internal::traits<Coefficients>::Alignment,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                 ^~~~~~~~~
../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 |     ResAlignment = traits<Quaternion<double> >::Alignment
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                               ^~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   178 | class Matrix
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~
../inst/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                  ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~
../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   102 |   {
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |   ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/SparseCore:37,
                 from ../inst/include/Eigen/Sparse:26,
                 from ../inst/include/RcppEigenForward.h:29:
../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
../inst/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    36 | class SparseCompressedBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 | class SparseMatrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
../inst/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    61 |   typedef Triplet<double> T;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ^
../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::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/include   -I../inst/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 -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c RcppExports.cpp -o RcppExports.o
In file included from ../inst/include/Eigen/Core:205,
                 from ../inst/include/Eigen/Dense:1,
                 from ../inst/include/RcppEigenForward.h:28,
                 from ../inst/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
../inst/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;
      |                                        ^
../inst/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;
      |                                        ^
../inst/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 }; };
      |                                       ^
../inst/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 }; };
      |                                        ^
../inst/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 }; };
      |                                        ^
../inst/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<Packet4f> {
      |                                           ^
../inst/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<Packet2d> {
      |                                           ^
../inst/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<Packet4f,4>& kernel) {
      |                                  ^
../inst/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<Packet2d,2>& kernel) {
      |                                  ^
In file included from ../inst/include/Eigen/Core:174:
../inst/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<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
../inst/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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
../inst/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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
../inst/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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
../inst/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 ../inst/include/Eigen/Core:165:
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:       |                                                         ^~~~~~~~~~~~
../inst/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:   266 |     Alignment = internal::traits<Coefficients>::Alignment,
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:       |                                                 ^~~~~~~~~
../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:    24 |     ResAlignment = traits<Quaternion<float> >::Alignment
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:       |                                              ^~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from ../inst/include/Eigen/Core:271:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   178 | class Matrix
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~
../inst/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                  ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~
../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    27 |   {
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |   ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^~~~~~~~~~~~
../inst/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   266 |     Alignment = internal::traits<Coefficients>::Alignment,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                 ^~~~~~~~~
../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 |     ResAlignment = traits<Quaternion<double> >::Alignment
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                               ^~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   178 | class Matrix
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~
../inst/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                  ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~
../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   102 |   {
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |   ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/SparseCore:37,
                 from ../inst/include/Eigen/Sparse:26,
                 from ../inst/include/RcppEigenForward.h:29:
../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
../inst/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    36 | class SparseCompressedBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 | class SparseMatrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
../inst/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    61 |   typedef Triplet<double> T;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ^
../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::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/include   -I../inst/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 -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c fastLm.cpp -o fastLm.o
In file included from ../inst/include/Eigen/Core:205,
                 from ../inst/include/Eigen/Dense:1,
                 from ../inst/include/RcppEigenForward.h:28,
                 from ../inst/include/RcppEigen.h:25,
                 from fastLm.h:25,
                 from fastLm.cpp:23:
../inst/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;
      |                                        ^
../inst/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;
      |                                        ^
../inst/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 }; };
      |                                       ^
../inst/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 }; };
      |                                        ^
../inst/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 }; };
      |                                        ^
../inst/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<Packet4f> {
      |                                           ^
../inst/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<Packet2d> {
      |                                           ^
../inst/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<Packet4f,4>& kernel) {
      |                                  ^
../inst/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<Packet2d,2>& kernel) {
      |                                  ^
In file included from ../inst/include/Eigen/Core:174:
../inst/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<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
../inst/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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
../inst/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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
../inst/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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
../inst/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 ../inst/include/Eigen/Core:165:
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:       |                                                         ^~~~~~~~~~~~
../inst/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:   266 |     Alignment = internal::traits<Coefficients>::Alignment,
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:       |                                                 ^~~~~~~~~
../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:    24 |     ResAlignment = traits<Quaternion<float> >::Alignment
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:       |                                              ^~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from ../inst/include/Eigen/Core:271:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   178 | class Matrix
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~
../inst/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                  ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~
../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    27 |   {
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |   ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^~~~~~~~~~~~
../inst/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   266 |     Alignment = internal::traits<Coefficients>::Alignment,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                 ^~~~~~~~~
../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 |     ResAlignment = traits<Quaternion<double> >::Alignment
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                               ^~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   178 | class Matrix
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~
../inst/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                  ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~
../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   102 |   {
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |   ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/SparseCore:37,
                 from ../inst/include/Eigen/Sparse:26,
                 from ../inst/include/RcppEigenForward.h:29:
../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
../inst/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    36 | class SparseCompressedBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 | class SparseMatrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
../inst/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    61 |   typedef Triplet<double> T;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ^
../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                                         ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   178 | class Matrix
../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~
fastLm.h:45:21:   required from here
../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    45 |     typedef MatrixXd::Index                                 Index;
../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ^~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   178 | class Matrix
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~
fastLm.h:45:21:   required from here
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    45 |     typedef MatrixXd::Index                                 Index;
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                     ^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   178 | class Matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:70:124:   required from ‘class Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    70 |     typedef HouseholderSequence<MatrixType,typename internal::remove_all<typename HCoeffsType::ConjugateReturnType>::type> HouseholderSequenceType;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                                                            ^~~~~~~~~~~~~~~~~~~~~~~
fastLm.h:48:42:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 |     typedef ColPivHouseholderQR<MatrixXd>::PermutationType  Permutation;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                          ^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   178 | class Matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:440:19:   required from ‘class Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   440 |     RowVectorType m_temp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                   ^~~~~~
fastLm.h:48:42:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 |     typedef ColPivHouseholderQR<MatrixXd>::PermutationType  Permutation;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                          ^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                               ^~~
fastLm.h:53:16:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    53 |         Map<MatrixXd> m_X;      /**< model matrix */
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                               ^~~
fastLm.h:54:16:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    54 |         Map<VectorXd> m_y;      /**< response vector */
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
fastLm.h:67:65:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    67 |         MatrixXd                 I_p() const {return MatrixXd::Identity(m_p, m_p);}
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                      ~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
fastLm.cpp:51:29:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    51 |           m_coef(VectorXd::Constant(m_p, ::NA_REAL)),           // #nocov
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    45 | class Array
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~
fastLm.cpp:64:46:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    64 |     inline ArrayXd lm::Dplus(const ArrayXd& d) {
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                              ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    38 |                    >::type Scalar;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
fastLm.cpp:68:24:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    68 |         m_r          = (di != 0.).count();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                               ^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
fastLm.cpp:74:28:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    74 |             rankUpdate(m_X.adjoint());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                        ~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~
fastLm.cpp:96:28:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             m_coef     = PQR.solve(y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                          ~~~~~~~~~^~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
fastLm.cpp:97:23:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    97 |             m_fitted   = X * m_coef;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                              ^~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
fastLm.cpp:98:48:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 |             m_se       = Pmat * PQR.matrixQR().topRows(m_p).
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~
fastLm.cpp:99:32:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 |             m_se       = Pmat * PQR.matrixQR().topRows(m_p).
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      99 |                 triangularView<Upper>().solve(I_p()).rowwise().norm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/VectorwiseOp.h:43:39:   required from ‘struct Eigen::internal::traits<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    43 |   typedef typename MatrixType::Scalar InputScalar;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                       ^~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29:   required from ‘struct Eigen::internal::traits<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    23 | template<typename T> struct traits<const T> : traits<T> {};
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
fastLm.cpp:99:54:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 |             m_se       = Pmat * PQR.matrixQR().topRows(m_p).
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
      99 |                 triangularView<Upper>().solve(I_p()).rowwise().norm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:23:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    23 |                    >::type Scalar;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ^~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
fastLm.cpp:99:54:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 |             m_se       = Pmat * PQR.matrixQR().topRows(m_p).
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
      99 |                 triangularView<Upper>().solve(I_p()).rowwise().norm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
fastLm.cpp:99:54:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 |             m_se       = Pmat * PQR.matrixQR().topRows(m_p).
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
      99 |                 triangularView<Upper>().solve(I_p()).rowwise().norm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >, 2>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >, 2> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >, 2> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >, 2, 7>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >, 2, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
fastLm.cpp:99:55:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    99 |                 triangularView<Upper>().solve(I_p()).rowwise().norm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~
fastLm.cpp:104:13:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   102 |         MatrixXd                     Rinv(PQR.matrixQR().topLeftCorner(m_r, m_r).       // #nocov start
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     103 |                                           triangularView<Upper>().
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                           ~~~~~~~~~~~~~~~~~~~~~~~~
     104 |                                           solve(MatrixXd::Identity(m_r, m_r)));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                           ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
../inst/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                               ^~~~~~~~~~~
fastLm.cpp:106:13:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   106 |         m_coef.head(m_r)                  = Rinv * effects.head(m_r);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
fastLm.cpp:106:61:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   106 |         m_coef.head(m_r)                  = Rinv * effects.head(m_r);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                    ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
fastLm.cpp:107:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   107 |         m_coef                            = Pmat * m_coef;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                    ^~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/VectorwiseOp.h:43:39:   required from ‘struct Eigen::internal::traits<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    43 |   typedef typename MatrixType::Scalar InputScalar;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                       ^~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29:   required from ‘struct Eigen::internal::traits<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    23 | template<typename T> struct traits<const T> : traits<T> {};
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
fastLm.cpp:112:57:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         m_se.head(m_r)                    = Rinv.rowwise().norm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:23:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    23 |                    >::type Scalar;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ^~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
fastLm.cpp:112:57:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         m_se.head(m_r)                    = Rinv.rowwise().norm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
fastLm.cpp:112:57:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         m_se.head(m_r)                    = Rinv.rowwise().norm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~
fastLm.cpp:118:39:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |         m_coef                     = QR.solve(y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                      ~~~~~~~~^~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
fastLm.cpp:127:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   127 |         m_coef            = Ch.solve(X.adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                    ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~
fastLm.cpp:127:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   127 |         m_coef            = Ch.solve(X.adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~
fastLm.cpp:129:40:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   129 |         m_se              = Ch.matrixL().solve(I_p()).colwise().norm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/VectorwiseOp.h:43:39:   required from ‘struct Eigen::internal::traits<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    43 |   typedef typename MatrixType::Scalar InputScalar;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                       ^~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29:   required from ‘struct Eigen::internal::traits<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    23 | template<typename T> struct traits<const T> : traits<T> {};
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
fastLm.cpp:129:62:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   129 |         m_se              = Ch.matrixL().solve(I_p()).colwise().norm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:23:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    23 |                    >::type Scalar;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ^~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 0>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
fastLm.cpp:129:62:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   129 |         m_se              = Ch.matrixL().solve(I_p()).colwise().norm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 0>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
fastLm.cpp:129:62:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   129 |         m_se              = Ch.matrixL().solve(I_p()).colwise().norm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                     ^~~~~~~~
fastLm.cpp:134:18:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   134 |         Dplus(Ch.vectorD());    // to set the rank
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~
fastLm.cpp:139:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   139 |         m_coef            = Ch.solve(X.adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~
fastLm.cpp:141:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   141 |         m_se              = Ch.solve(I_p()).diagonal().array().sqrt();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                     ^~~~~~~~
fastLm.cpp:141:46:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   141 |         m_se              = Ch.solve(I_p()).diagonal().array().sqrt();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
fastLm.cpp:141:54:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   141 |         m_se              = Ch.solve(I_p()).diagonal().array().sqrt();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
fastLm.cpp:141:61:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   141 |         m_se              = Ch.solve(I_p()).diagonal().array().sqrt();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
fastLm.cpp:163:25:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   163 |         MatrixXd VDi(Vt.adjoint() * Dplus(S).matrix().asDiagonal());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
fastLm.cpp:163:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   163 |         MatrixXd VDi(Vt.adjoint() * Dplus(S).matrix().asDiagonal());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1, 8>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
fastLm.cpp:163:59:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   163 |         MatrixXd VDi(Vt.adjoint() * Dplus(S).matrix().asDiagonal());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                  ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 8>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
fastLm.cpp:164:32:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   164 |         m_coef      = VDi * U.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                       ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
fastLm.cpp:164:36:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   164 |         m_coef      = VDi * U.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                           ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
fastLm.cpp:172:38:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   172 |                                  Dplus(UDV.singularValues().array()).matrix().asDiagonal());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1, 8>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
fastLm.cpp:172:62:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   172 |                                  Dplus(UDV.singularValues().array()).matrix().asDiagonal());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                     ^~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    97 |             >::type SubDiagonalReturnType;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                              ^~~~~~~~~~~~~~~
fastLm.cpp:180:39:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   180 |         SelfAdjointEigenSolver<MatrixXd> eig(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                              ^~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
fastLm.cpp:182:47:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   182 |                        Dplus(eig.eigenvalues().array()).sqrt().matrix().asDiagonal());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
fastLm.cpp:182:56:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   182 |                        Dplus(eig.eigenvalues().array()).sqrt().matrix().asDiagonal());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1, 8>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
fastLm.cpp:182:70:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   182 |                        Dplus(eig.eigenvalues().array()).sqrt().matrix().asDiagonal());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                    ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
fastLm.cpp:183:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
fastLm.cpp:183:55:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                              ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
fastLm.cpp:230:49:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   230 |         VectorXd         resid = y - ans.fitted();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                 ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    38 |                    >::type Scalar;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
fastLm.cpp:235:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   235 |         VectorXd            se = s * ans.se();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
fastLm.cpp:235:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   235 |         VectorXd            se = s * ans.se();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   513 |   typedef typename _CastType::Scalar NewScalarType;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                      ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >::CastXpr<double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                                                                                                                   ^~~~
../inst/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >::cast() const [with NewType = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    62 | cast() const
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       | ^~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:426:117:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   426 |         res(other.template cast<typename internal::matrix_type_times_scalar_type<Scalar,OtherDerived>::ResultScalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::Matrix<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   513 |   typedef typename _CastType::Scalar NewScalarType;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                      ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >::CastXpr<double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                                                                                                                   ^~~~
../inst/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >::cast() const [with NewType = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    62 | cast() const
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       | ^~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:426:117:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   426 |         res(other.template cast<typename internal::matrix_type_times_scalar_type<Scalar,OtherDerived>::ResultScalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
fastLm.cpp:111:59:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   111 |         m_fitted                          = PQR.householderQ() * effects;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                  ^~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   347 |   return derived() = Constant(rows(), cols(), val);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   548 |   return setConstant(Scalar(0));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^~~~~~~~~~~
fastLm.cpp:73:35:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    73 |         return MatrixXd(m_p, m_p).setZero().selfadjointView<Lower>().
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 1, 1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, 1, 1, 1, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   178 | class Matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:363:86:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   363 |       Matrix<Scalar,1,Dest::ColsAtCompileTime,RowMajor,1,Dest::MaxColsAtCompileTime> workspace;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                      ^~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 1>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 3>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, 1, 1, 1, 1>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   178 | class Matrix
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:363:86:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   363 |       Matrix<Scalar,1,Dest::ColsAtCompileTime,RowMajor,1,Dest::MaxColsAtCompileTime> workspace;
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                                                      ^~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:33:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
../inst/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:43:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:91:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                               ~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
../inst/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:101:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   453 |   RealScalar scale = mat.cwiseAbs().maxCoeff();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~~~~~~^~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       compute(matrix.derived(), options);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:180:69:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   180 |         SelfAdjointEigenSolver<MatrixXd> eig(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   110 |   return numext::sqrt(squaredNorm());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~~
fastLm.cpp:233:44:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   233 |         double               s = resid.norm() / std::sqrt(double(df));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:330:
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    72 |     typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor, Unaligned, ResInnerStride> ResMapper;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |     internal::general_matrix_matrix_triangular_product<Index,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     113 |       ::run(size, depth,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~^~~~~~~~~~~~~
     114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:74:16:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    73 |         return MatrixXd(m_p, m_p).setZero().selfadjointView<Lower>().
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      74 |             rankUpdate(m_X.adjoint());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/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);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/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);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/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);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:  1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |                                          ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:    92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |                                                                                                             ^~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:   109 |     internal::general_matrix_matrix_triangular_product<Index,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     113 |       ::run(size, depth,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |       ~~~~~^~~~~~~~~~~~~
     114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:74:16:   required from here
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:    73 |         return MatrixXd(m_p, m_p).setZero().selfadjointView<Lower>().
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      74 |             rankUpdate(m_X.adjoint());
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |             ~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/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);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/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);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/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);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:  1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |                                             ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:    92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |                                                                                                             ^~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:   109 |     internal::general_matrix_matrix_triangular_product<Index,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     113 |       ::run(size, depth,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |       ~~~~~^~~~~~~~~~~~~
     114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:74:16:   required from here
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:    73 |         return MatrixXd(m_p, m_p).setZero().selfadjointView<Lower>().
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      74 |             rankUpdate(m_X.adjoint());
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |             ~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/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);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/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);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/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);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 1>’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 3>’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |                                                                                 ^~~~~
../inst/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, 1, -1>, -1>’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:    56 | template<typename VectorType, int Size> class VectorBlock
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |                                               ^~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:521:73:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:   521 |     RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index));
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:549:27:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, -1, false, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:394:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   394 |           Block<Dest,Dynamic,Dynamic> sub_dst(dst,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                       ^~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
../inst/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:82:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                  ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, false, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:55:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                        ~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                     ^~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:325:19:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   325 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
../inst/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:325:26:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   325 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:325:43:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   325 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, false, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:352:35:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   352 |       Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                   ^~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:358:80:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   358 |         temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                     ~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:358:67:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   358 |         temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:126:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:359:35:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   359 |         mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                              ~~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:32:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   361 |           A21.noalias() -= A20 * temp.head(k);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:379:56:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   379 |           ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:387:32:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   387 |         ret = ret && (A21.array()==Scalar(0)).all();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    38 |                    >::type Scalar;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:691:29:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   691 |     m_scaledMatrix = matrix / scale;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~^~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:691:29:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   691 |     m_scaledMatrix = matrix / scale;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~^~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:697:60:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   697 |     m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                     ^~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:705:61:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   705 |   RealScalar maxDiagEntry = m_workMatrix.cwiseAbs().diagonal().maxCoeff();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:765:62:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   765 |       if(computeU() && (a<RealScalar(0))) m_matrixU.col(i) = -m_matrixU.col(i);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                              ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 |       pack_rhs(blockB, rhs.getSubMapper(k2,0), actual_kc, size);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |     internal::general_matrix_matrix_triangular_product<Index,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     113 |       ::run(size, depth,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~^~~~~~~~~~~~~
     114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:74:16:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    73 |         return MatrixXd(m_p, m_p).setZero().selfadjointView<Lower>().
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      74 |             rankUpdate(m_X.adjoint());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:   106 |         pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:       |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:   109 |     internal::general_matrix_matrix_triangular_product<Index,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     113 |       ::run(size, depth,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:       |       ~~~~~^~~~~~~~~~~~~
     114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:74:16:   required from here
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:    73 |         return MatrixXd(m_p, m_p).setZero().selfadjointView<Lower>().
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      74 |             rankUpdate(m_X.adjoint());
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:       |             ~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/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<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../inst/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<HalfPacket>::size,
      |                                                        ^~~~
../inst/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<QuarterPacket>::size,
      |                                                              ^~~~
../inst/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]
../inst/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<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
../inst/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]
../inst/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<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
../inst/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]
../inst/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]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::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<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning:   113 |           gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning:       |           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     114 |                (std::min)(size,i2), alpha, -1, -1, 0, 0);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning:   109 |     internal::general_matrix_matrix_triangular_product<Index,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     113 |       ::run(size, depth,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning:       |       ~~~~~^~~~~~~~~~~~~
     114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:74:16:   required from here
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning:    73 |         return MatrixXd(m_p, m_p).setZero().selfadjointView<Lower>().
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      74 |             rankUpdate(m_X.adjoint());
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning:       |             ~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/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<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
../inst/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<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
../inst/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]
../inst/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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../inst/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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../inst/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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../inst/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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 16>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning:       |                                                         ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 4>’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning:   178 | class Matrix
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning:       |       ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning:   155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning:       |                                                    ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning:   116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning:       |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning:   109 |     internal::general_matrix_matrix_triangular_product<Index,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     113 |       ::run(size, depth,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning:       |       ~~~~~^~~~~~~~~~~~~
     114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:74:16:   required from here
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning:    73 |         return MatrixXd(m_p, m_p).setZero().selfadjointView<Lower>().
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      74 |             rankUpdate(m_X.adjoint());
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning:       |             ~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 4>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   178 | class Matrix
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                    ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   109 |     internal::general_matrix_matrix_triangular_product<Index,
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     113 |       ::run(size, depth,
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ~~~~~^~~~~~~~~~~~~
     114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:74:16:   required from here
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    73 |         return MatrixXd(m_p, m_p).setZero().selfadjointView<Lower>().
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      74 |             rankUpdate(m_X.adjoint());
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |             ~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:45:80:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    45 |   VectorBlock<Derived, internal::decrement_size<Base::SizeAtCompileTime>::ret> essentialPart(derived(), 1, size()-1);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                ^~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                               ^~~
../inst/include/Eigen/src/Householder/Householder.h:127:63:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   127 |     Map<typename internal::plain_row_type<PlainObject>::type> tmp(workspace,cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                               ^~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
../inst/include/Eigen/src/Householder/Householder.h:128:82:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   128 |     Block<Derived, EssentialPart::SizeAtCompileTime, Derived::ColsAtCompileTime> bottom(derived(), 1, 0, rows()-1, cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                  ^~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:38:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   129 |     tmp.noalias() = essential.adjoint() * bottom;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:41:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   129 |     tmp.noalias() = essential.adjoint() * bottom;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
../inst/include/Eigen/src/Householder/Householder.h:130:21:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   130 |     tmp += this->row(0);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~^~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    38 |                    >::type Scalar;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:131:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   131 |     this->row(0) -= tau * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~^~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:131:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   131 |     this->row(0) -= tau * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~^~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:29:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   132 |     bottom.noalias() -= tau * essential * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~^~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:41:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   132 |     bottom.noalias() -= tau * essential * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1, 1, -1, -1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   178 | class Matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:90:75:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    90 |   Matrix<typename MatrixType::Scalar, TFactorSize, TFactorSize, RowMajor> T(nbVecs,nbVecs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                           ^
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1, 0, -1, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   178 | class Matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                              ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from ‘class Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   187 | template<typename _MatrixType, unsigned int _Mode> class TriangularView
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                          ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:93:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                    ~~~~~~~~~^~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0, 8>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                    ~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   101 |   if(forward) tmp = T.template triangularView<Upper>()           * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from ‘class Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   187 | template<typename _MatrixType, unsigned int _Mode> class TriangularView
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                          ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:63:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   102 |   else        tmp = T.template triangularView<Upper>().adjoint() * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   102 |   else        tmp = T.template triangularView<Upper>().adjoint() * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |   mat.noalias() -= V * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                    ~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:127:63:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   127 |     Map<typename internal::plain_row_type<PlainObject>::type> tmp(workspace,cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                               ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                               ^~~
../inst/include/Eigen/src/Householder/Householder.h:127:63:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   127 |     Map<typename internal::plain_row_type<PlainObject>::type> tmp(workspace,cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                               ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
../inst/include/Eigen/src/Householder/Householder.h:128:82:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   128 |     Block<Derived, EssentialPart::SizeAtCompileTime, Derived::ColsAtCompileTime> bottom(derived(), 1, 0, rows()-1, cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                  ^~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:38:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   129 |     tmp.noalias() = essential.adjoint() * bottom;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:41:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   129 |     tmp.noalias() = essential.adjoint() * bottom;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
../inst/include/Eigen/src/Householder/Householder.h:130:21:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   130 |     tmp += this->row(0);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    38 |                    >::type Scalar;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:131:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   131 |     this->row(0) -= tau * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:131:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   131 |     this->row(0) -= tau * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:29:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   132 |     bottom.noalias() -= tau * essential * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~^~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, 4>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:41:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   132 |     bottom.noalias() -= tau * essential * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:221:22:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   221 |     return m.cwiseAbs().sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:74:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:221:22:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   221 |     return m.cwiseAbs().sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:125:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:277:
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    90 | struct evaluator : public unary_evaluator<T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/BooleanRedux.h:84:50:   required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    84 |           && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                  ^~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:379:74:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   379 |           ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:  1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:  1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    90 | struct evaluator : public unary_evaluator<T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/BooleanRedux.h:84:50:   required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    84 |           && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                  ^~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:379:74:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   379 |           ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                         ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:  1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:  1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    90 | struct evaluator : public unary_evaluator<T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/BooleanRedux.h:84:50:   required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    84 |           && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                  ^~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:387:50:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   387 |         ret = ret && (A21.array()==Scalar(0)).all();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                         ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from ‘class Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   187 | template<typename _MatrixType, unsigned int _Mode> class TriangularView
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                          ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:231:121:   required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   231 |       svd.m_workMatrix = m_qr.matrixQR().block(0,0,matrix.rows(),matrix.rows()).template triangularView<Upper>().adjoint();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 2, 2> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 2, 2> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 2, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   178 | class Matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~
../inst/include/Eigen/src/misc/RealSvd2x2.h:25:26:   required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    25 |   Matrix<RealScalar,2,2> m;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                          ^
../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   730 |             internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                     ^~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   451 |     subdiag = mat.template diagonal<-1>().real();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       compute(matrix.derived(), options);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:180:69:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   180 |         SelfAdjointEigenSolver<MatrixXd> eig(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Array<double, -1, 1>; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array<double, -1, 1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   466 |       return maxCoeff<PropagateFast>();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~
fastLm.cpp:66:25:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    66 |         double  comp(d.maxCoeff() * threshold());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    94 | class CwiseUnaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   110 |   return numext::sqrt(squaredNorm());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                       ^~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   507 |     m_colNormsDirect.coeffRef(k) = m_qr.col(k).norm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                    ~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:76:64:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    76 |   VectorBlock<const Derived, EssentialPart::SizeAtCompileTime> tail(derived(), 1, size()-1);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                ^~~~
../inst/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |   makeHouseholder(essentialPart, tau, beta);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:93:22:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     essential = tail / (c0 - beta);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |   makeHouseholder(essentialPart, tau, beta);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   110 |   return numext::sqrt(squaredNorm());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   567 |           m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:20:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:28:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:70:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                           ~~~~~~~~~~~^~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:78:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                           ~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:64:84:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                           ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:73:50:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    73 |           triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    20 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:123:11:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   123 |     *this *= Scalar(1)-tau;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:291:12:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~^~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:291:20:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                    ~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   101 |   if(forward) tmp = T.template triangularView<Upper>()           * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   102 |   else        tmp = T.template triangularView<Upper>().adjoint() * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |   mat.noalias() -= V * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                    ~~^~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:332:45:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   344 |       return unblocked(m);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   456 |   bool ok = Traits::inplace_decomposition(m_matrix);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:323:35:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   323 |       Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                   ^~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   363 |       if((ret=unblocked(A11))>=0) return k+ret;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   456 |   bool ok = Traits::inplace_decomposition(m_matrix);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:332:58:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                               ~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   363 |       if((ret=unblocked(A11))>=0) return k+ret;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   456 |   bool ok = Traits::inplace_decomposition(m_matrix);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:332:45:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   363 |       if((ret=unblocked(A11))>=0) return k+ret;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   456 |   bool ok = Traits::inplace_decomposition(m_matrix);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 0> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   883 |   ActualDstType actualDst(dst);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ^~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 0> >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:129:63:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   129 |         m_se              = Ch.matrixL().solve(I_p()).colwise().norm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                      ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:167:44:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Product.h:175:24:   required from ‘Eigen::ProductImpl<Lhs, Rhs, Option, Eigen::Dense>::Scalar Eigen::ProductImpl<Lhs, Rhs, Option, Eigen::Dense>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Option = 0; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   175 |       return internal::evaluator<Derived>(derived()).coeff(row,col);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:530:29:   required from ‘Eigen::DenseBase<Derived>::CoeffReturnType Eigen::DenseBase<Derived>::value() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   530 |       return derived().coeff(0,0);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:359:56:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   359 |         mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Jacobi/Jacobi.h:297:10:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, 2, 2>; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   297 |   RowXpr x(this->row(p));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^
../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19:   required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |   m.applyOnTheLeft(0,1,rot1);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   730 |             internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 2>’:
../inst/include/Eigen/src/Core/DenseBase.h:179:81:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 2, 2>, 1, 2, false, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Jacobi/Jacobi.h:297:10:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, 2, 2>; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   297 |   RowXpr x(this->row(p));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^
../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19:   required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |   m.applyOnTheLeft(0,1,rot1);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   730 |             internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; VectorY = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; OtherScalar = double]’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   475 |     EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                              ^~~~~~~~~
../inst/include/Eigen/src/Jacobi/Jacobi.h:299:40:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   299 |   internal::apply_rotation_in_the_plane(x, y, j);
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:733:40:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   733 |             m_workMatrix.applyOnTheLeft(p,q,j_left);
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   369 |     hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     370 |                                   * (conj(h) * matA.col(i).tail(remainingSize)));
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   449 |     tridiagonalization_inplace(mat, hCoeffs);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   181 |       compute(matrix.derived(), options);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:180:69:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   180 |         SelfAdjointEigenSolver<MatrixXd> eig(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Jacobi/Jacobi.h:313:10:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   313 |   ColXpr x(this->col(p));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24:   required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   895 |       q.applyOnTheRight(k,k+1,rot);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   548 |     internal::tridiagonal_qr_step<MatrixType::Flags&RowMajorBit ? RowMajor : ColMajor>(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   460 |   m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       compute(matrix.derived(), options);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:180:69:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   180 |         SelfAdjointEigenSolver<MatrixXd> eig(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   347 |   return derived() = Constant(rows(), cols(), val);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   548 |   return setConstant(Scalar(0));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   171 |         buffer.setZero();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |     internal::general_matrix_matrix_triangular_product<Index,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     113 |       ::run(size, depth,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~^~~~~~~~~~~~~
     114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:74:16:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    73 |         return MatrixXd(m_p, m_p).setZero().selfadjointView<Lower>().
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      74 |             rankUpdate(m_X.adjoint());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/Visitor.h:79:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    79 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                   ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Visitor.h:123:17:   required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   123 |   ThisEvaluator thisEval(derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ^~~~~~~~
../inst/include/Eigen/src/Core/Visitor.h:374:14:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   374 |   this->visit(maxVisitor);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:501:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   501 |       return maxCoeff<PropagateFast>(index);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   521 |     RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    94 | class CwiseUnaryOpImpl
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Householder/Householder.h:78:71:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    78 |   RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                       ~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    46 |   makeHouseholder(essentialPart, tau, beta);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
../inst/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<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   780 |   DstEvaluatorType dstEvaluator(dst);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:851:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   851 |   call_assignment_no_alias(dst, tmp, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:106:61:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   106 |         m_coef.head(m_r)                  = Rinv * effects.head(m_r);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                    ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   295 |     mat.bottomRightCorner(remainingRows, remainingCols)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   295 |     mat.bottomRightCorner(remainingRows, remainingCols)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   295 |     mat.bottomRightCorner(remainingRows, remainingCols)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   295 |     mat.bottomRightCorner(remainingRows, remainingCols)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:29:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   132 |     bottom.noalias() -= tau * essential * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~^~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   295 |     mat.bottomRightCorner(remainingRows, remainingCols)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   295 |     mat.bottomRightCorner(remainingRows, remainingCols)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    90 | struct evaluator : public unary_evaluator<T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   414 |   ThisEvaluator thisEval(derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:221:28:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   221 |     return m.cwiseAbs().sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:125:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    94 | class CwiseUnaryOpImpl
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:328:36:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   328 |       if (k>0) x -= A10.squaredNorm();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   344 |       return unblocked(m);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   456 |   bool ok = Traits::inplace_decomposition(m_matrix);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:328:36:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   328 |       if (k>0) x -= A10.squaredNorm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   363 |       if((ret=unblocked(A11))>=0) return k+ret;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   456 |   bool ok = Traits::inplace_decomposition(m_matrix);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    90 | struct evaluator : public unary_evaluator<T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~
../inst/include/Eigen/src/Core/Visitor.h:79:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    79 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                   ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Visitor.h:123:17:   required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   123 |   ThisEvaluator thisEval(derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ^~~~~~~~
../inst/include/Eigen/src/Core/Visitor.h:374:14:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   374 |   this->visit(maxVisitor);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:501:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   501 |       return maxCoeff<PropagateFast>(index);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:325:54:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   325 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                                                      ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                             ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, 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<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   361 |           A21.noalias() -= A20 * temp.head(k);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                         ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   303 |             dst.bottomRightCorner(cornerSize, cornerSize)
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     304 |                .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   232 |       if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:169:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   169 |     this->col(0) -= tau * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   303 |             dst.bottomRightCorner(cornerSize, cornerSize)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     304 |                .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   232 |       if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   303 |             dst.bottomRightCorner(cornerSize, cornerSize)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     304 |                .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   232 |       if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   306 |             dst.bottomRightCorner(cornerSize, cornerSize)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     307 |                .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   232 |       if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   306 |             dst.bottomRightCorner(cornerSize, cornerSize)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     307 |                .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   232 |       if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >’:
../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>; VectorY = Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>; OtherScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   475 |     EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                              ^~~~~~~~~
../inst/include/Eigen/src/Jacobi/Jacobi.h:299:40:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, 2, 2>; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   299 |   internal::apply_rotation_in_the_plane(x, y, j);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19:   required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |   m.applyOnTheLeft(0,1,rot1);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   730 |             internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   475 |     EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                              ^~~~~~~~~
../inst/include/Eigen/src/Jacobi/Jacobi.h:315:40:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   315 |   internal::apply_rotation_in_the_plane(x, y, j.transpose());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24:   required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   895 |       q.applyOnTheRight(k,k+1,rot);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   548 |     internal::tridiagonal_qr_step<MatrixType::Flags&RowMajorBit ? RowMajor : ColMajor>(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   460 |   m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   181 |       compute(matrix.derived(), options);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:180:69:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   180 |         SelfAdjointEigenSolver<MatrixXd> eig(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                            ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   110 |   return numext::sqrt(squaredNorm());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                       ^~~~~~~~~~~
fastLm.cpp:233:44:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   233 |         double               s = resid.norm() / std::sqrt(double(df));
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                                                                                      ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                             ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   129 |     tmp.noalias() = essential.adjoint() * bottom;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                            ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 1>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 3>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:96:30:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    96 |             m_coef     = PQR.solve(y);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   182 |       return coeff(index);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:53:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                              ~~~~~~~^~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:93:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 4, 1, false, false>’:
../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   232 |     gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:364:96:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   456 |   bool ok = Traits::inplace_decomposition(m_matrix);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
../inst/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]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 4, 1, false, true>’:
../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:   233 |     gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr, RhsStorageOrder,false,true> pack_rhs_panel;
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:       |                                                                                     ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:   100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:364:96:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:   364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:   408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:   456 |   bool ok = Traits::inplace_decomposition(m_matrix);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:       |                                                         ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
../inst/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]
../inst/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]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::scalar_max_op<double, double, 1>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 1; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:   448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:679:71:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:   679 |   RealScalar scale = matrix.cwiseAbs().template maxCoeff<PropagateNaN>();
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   372 |     hCoeffs.tail(n-i-1) += (conj(h)*RealScalar(-0.5)*(hCoeffs.tail(remainingSize).dot(matA.col(i).tail(remainingSize)))) * matA.col(i).tail(n-i-1);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   449 |     tridiagonalization_inplace(mat, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   181 |       compute(matrix.derived(), options);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:180:69:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   180 |         SelfAdjointEigenSolver<MatrixXd> eig(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   374 |     matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     375 |       .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   449 |     tridiagonalization_inplace(mat, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       compute(matrix.derived(), options);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:180:69:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   180 |         SelfAdjointEigenSolver<MatrixXd> eig(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   374 |     matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     375 |       .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   449 |     tridiagonalization_inplace(mat, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       compute(matrix.derived(), options);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:180:69:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   180 |         SelfAdjointEigenSolver<MatrixXd> eig(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   374 |     matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     375 |       .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   449 |     tridiagonalization_inplace(mat, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       compute(matrix.derived(), options);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:180:69:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   180 |         SelfAdjointEigenSolver<MatrixXd> eig(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   374 |     matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     375 |       .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   449 |     tridiagonalization_inplace(mat, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       compute(matrix.derived(), options);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:180:69:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   180 |         SelfAdjointEigenSolver<MatrixXd> eig(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, 1, -1>; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, 1, -1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, 1, -1> >; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   466 |       return maxCoeff<PropagateFast>();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   511 |   RealScalar threshold_helper =  numext::abs2<RealScalar>(m_colNormsUpdated.maxCoeff() * NumTraits<RealScalar>::epsilon()) / RealScalar(rows);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                             ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    90 | struct evaluator : public unary_evaluator<T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |        ^~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   414 |   ThisEvaluator thisEval(derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:78:71:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    78 |   RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                                       ~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    46 |   makeHouseholder(essentialPart, tau, beta);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                            ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 2>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, 1, 1, false, true>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1> >, 2>; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1> >, 2>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >, 2>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:99:55:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    99 |                 triangularView<Upper>().solve(I_p()).rowwise().norm();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   129 |     tmp.noalias() = essential.adjoint() * bottom;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 4>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   132 |     bottom.noalias() -= tau * essential * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^~~~~
../inst/include/Eigen/src/Householder/Householder.h:79:20:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    79 |   Scalar c0 = coeff(0);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~^~~
../inst/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |   makeHouseholder(essentialPart, tau, beta);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                         ^~~~~
../inst/include/Eigen/src/Householder/Householder.h:79:20:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    79 |   Scalar c0 = coeff(0);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |               ~~~~~^~~
../inst/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    46 |   makeHouseholder(essentialPart, tau, beta);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:221:28:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   221 |     return m.cwiseAbs().sum();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |            ~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:74:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                             ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    90 | struct evaluator : public unary_evaluator<T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |        ^~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   414 |   ThisEvaluator thisEval(derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:328:36:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   328 |       if (k>0) x -= A10.squaredNorm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   363 |       if((ret=unblocked(A11))>=0) return k+ret;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |               ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   456 |   bool ok = Traits::inplace_decomposition(m_matrix);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                                         ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]’:
../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   319 |             pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     320 |                            actualPanelWidth, actual_mc,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     321 |                            actual_kc, j2);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                            ~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:364:96:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   456 |   bool ok = Traits::inplace_decomposition(m_matrix);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                         ^
../inst/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<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../inst/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<HalfPacket>::size,
      |                                                        ^~~~
../inst/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<QuarterPacket>::size,
      |                                                              ^~~~
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:   106 |         pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:       |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; OtherType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:   109 |     internal::general_matrix_matrix_triangular_product<Index,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     113 |       ::run(size, depth,
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:       |       ~~~~~^~~~~~~~~~~~~
     114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:365:64:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:   365 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:   408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:   456 |   bool ok = Traits::inplace_decomposition(m_matrix);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:       |                                                         ^
../inst/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<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../inst/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<HalfPacket>::size,
      |                                                        ^~~~
../inst/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<QuarterPacket>::size,
      |                                                              ^~~~
../inst/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]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Product.h:175:24:   required from ‘Eigen::ProductImpl<Lhs, Rhs, Option, Eigen::Dense>::Scalar Eigen::ProductImpl<Lhs, Rhs, Option, Eigen::Dense>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Option = 0; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:   175 |       return internal::evaluator<Derived>(derived()).coeff(row,col);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:530:29:   required from ‘Eigen::DenseBase<Derived>::CoeffReturnType Eigen::DenseBase<Derived>::value() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:   530 |       return derived().coeff(0,0);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:       |              ~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:359:56:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:   359 |         mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 2>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 2> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 2> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 2, 7>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 2, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:577:26:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:139:46:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   139 |         m_coef            = Ch.solve(X.adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2, 7>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:610:38:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:139:46:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   139 |         m_coef            = Ch.solve(X.adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   110 |   return numext::sqrt(squaredNorm());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   507 |     m_colNormsDirect.coeffRef(k) = m_qr.col(k).norm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                    ~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   132 |     bottom.noalias() -= tau * essential * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   132 |     bottom.noalias() -= tau * essential * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   132 |     bottom.noalias() -= tau * essential * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   110 |   return numext::sqrt(squaredNorm());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   567 |           m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   347 |   return derived() = Constant(rows(), cols(), val);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   548 |   return setConstant(Scalar(0));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ^~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:606:103:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:96:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    96 |             m_coef     = PQR.solve(y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’:
../inst/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<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = mul_assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   780 |   DstEvaluatorType dstEvaluator(dst);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    20 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:123:11:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   123 |     *this *= Scalar(1)-tau;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’:
../inst/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::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   774 |   SrcEvaluatorType srcEvaluator(src);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:130:9:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   130 |     tmp += this->row(0);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                                                      ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                             ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:43:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   295 |     mat.bottomRightCorner(remainingRows, remainingCols)
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   361 |           A21.noalias() -= A20 * temp.head(k);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   361 |           A21.noalias() -= A20 * temp.head(k);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                                      ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:43:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   303 |             dst.bottomRightCorner(cornerSize, cornerSize)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     304 |                .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   232 |       if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Householder/Householder.h:78:71:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    78 |   RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                       ~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    46 |   makeHouseholder(essentialPart, tau, beta);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   347 |   return derived() = Constant(rows(), cols(), val);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   548 |   return setConstant(Scalar(0));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ^~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   129 |     tmp.noalias() = essential.adjoint() * bottom;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   129 |     tmp.noalias() = essential.adjoint() * bottom;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   129 |     tmp.noalias() = essential.adjoint() * bottom;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                              ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   774 |   SrcEvaluatorType srcEvaluator(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:73:45:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    73 |           triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   774 |   SrcEvaluatorType srcEvaluator(src);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:73:45:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    73 |           triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true, false>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                                                       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true, Eigen::Dense>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                                 ^~~~~
../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1> >]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:112:58:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   112 |         m_se.head(m_r)                    = Rinv.rowwise().norm();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                 ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true> >’:
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from ‘PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   217 |     PanelEvaluator panel_eval(panel);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                    ^~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:603:81:   required from ‘PacketType Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; UnaryOp = Eigen::internal::scalar_sqrt_op<double>; ArgType = const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::CwiseUnaryOp<UnaryOp, ArgType>::Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   603 |     return m_d.func().packetOp(m_d.argImpl.template packet<LoadMode, PacketType>(index));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:681:114:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> > >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   681 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:437:75:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1> >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:112:58:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         m_se.head(m_r)                    = Rinv.rowwise().norm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                 ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                             ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    90 | struct evaluator : public unary_evaluator<T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   414 |   ThisEvaluator thisEval(derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’:
../inst/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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   780 |   DstEvaluatorType dstEvaluator(dst);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:333:21:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   333 |       if (rs>0) A21 /= x;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~^~~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   363 |       if((ret=unblocked(A11))>=0) return k+ret;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |               ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   456 |   bool ok = Traits::inplace_decomposition(m_matrix);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                         ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from ../inst/include/Eigen/Core:333:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    87 |   typedef typename Traits::LhsPacket LhsPacket;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                      ^~~~~~~~~
../inst/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   252 |       general_matrix_vector_product
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
     253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     254 |           actualLhs.rows(), actualLhs.cols(),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
     255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     257 |           dest.data(), 1,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~                                                                                                             
     258 |           compatibleAlpha);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~~                                                                                                            
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   385 |     internal::gemv_dense_selector<Side,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   361 |           A21.noalias() -= A20 * temp.head(k);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                         ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/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);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/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);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/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);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:    91 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                                          ^~~~~~~~~~~~~
../inst/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   252 |       general_matrix_vector_product
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
     253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     254 |           actualLhs.rows(), actualLhs.cols(),
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
     255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     257 |           dest.data(), 1,
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |           ~~~~~~~~~~~~~~~                                                                                                             
     258 |           compatibleAlpha);
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |           ~~~~~~~~~~~~~~~~                                                                                                            
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   385 |     internal::gemv_dense_selector<Side,
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   361 |           A21.noalias() -= A20 * temp.head(k);
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                                                         ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/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);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/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);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/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);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:    95 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                                             ^~~~~~~~~~~~~~~~
../inst/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   252 |       general_matrix_vector_product
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
     253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     254 |           actualLhs.rows(), actualLhs.cols(),
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
     255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     257 |           dest.data(), 1,
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |           ~~~~~~~~~~~~~~~                                                                                                             
     258 |           compatibleAlpha);
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |           ~~~~~~~~~~~~~~~~                                                                                                            
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   385 |     internal::gemv_dense_selector<Side,
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   361 |           A21.noalias() -= A20 * temp.head(k);
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                                                         ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/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);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/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);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/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);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   361 |           A21.noalias() -= A20 * temp.head(k);
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   296 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   361 |           A21.noalias() -= A20 * temp.head(k);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   774 |   SrcEvaluatorType srcEvaluator(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:697:18:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   697 |     m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
../inst/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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   780 |   DstEvaluatorType dstEvaluator(dst);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:93:15:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    93 |     essential = tail / (c0 - beta);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    46 |   makeHouseholder(essentialPart, tau, beta);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                            ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   129 |     tmp.noalias() = essential.adjoint() * bottom;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   129 |     tmp.noalias() = essential.adjoint() * bottom;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   129 |     tmp.noalias() = essential.adjoint() * bottom;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                               ^~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:96:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             m_coef     = PQR.solve(y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:96:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             m_coef     = PQR.solve(y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:96:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             m_coef     = PQR.solve(y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   125 |             Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:96:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             m_coef     = PQR.solve(y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   155 |           pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 2]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   522 |     { return solveInPlace<OnTheLeft>(other); }
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:552:25:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; DstType = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   552 |       this->solveInPlace(dst);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>; RhsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   883 |       this->_set_noalias(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
fastLm.cpp:104:43:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   104 |                                           solve(MatrixXd::Identity(m_r, m_r)));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                              ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:    38 |                    >::type Scalar;
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:       |                            ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1>, Eigen::Dense>’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:   103 |   mat.noalias() -= V * tmp;
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:       |   ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1, 0, -1, 1>; typename Dest::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |   mat.noalias() -= V * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                                       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |   mat.noalias() -= V * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |   mat.noalias() -= V * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |   mat.noalias() -= V * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1, 0, -1, 1>; typename Dest::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |   mat.noalias() -= V * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                                      ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:527:76:   required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   527 |   typedef typename internal::nested_eval<Rhs,Lhs::RowsAtCompileTime>::type RhsNested;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                            ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    29 | struct evaluator<Product<Lhs, Rhs, Options> >
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   774 |   SrcEvaluatorType srcEvaluator(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   129 |     tmp.noalias() = essential.adjoint() * bottom;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   883 |       this->_set_noalias(other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/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::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:106:61:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   106 |         m_coef.head(m_r)                  = Rinv * effects.head(m_r);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                    ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                                       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1> >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:112:58:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         m_se.head(m_r)                    = Rinv.rowwise().norm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                 ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
../inst/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::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   774 |   SrcEvaluatorType srcEvaluator(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   295 |     mat.bottomRightCorner(remainingRows, remainingCols)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   295 |     mat.bottomRightCorner(remainingRows, remainingCols)
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 2, -1, true, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1> >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:121:58:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   121 |             triangularView<Upper>().solve(I_p()).rowwise().norm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                 ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true> >’:
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from ‘PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   217 |     PanelEvaluator panel_eval(panel);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                    ^~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:603:81:   required from ‘PacketType Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; UnaryOp = Eigen::internal::scalar_sqrt_op<double>; ArgType = const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::CwiseUnaryOp<UnaryOp, ArgType>::Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   603 |     return m_d.func().packetOp(m_d.argImpl.template packet<LoadMode, PacketType>(index));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:681:114:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> > >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   681 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:437:75:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> > >, Eigen::internal::assign_op<double, double>, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   437 |       kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:785:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1> >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:121:58:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   121 |             triangularView<Upper>().solve(I_p()).rowwise().norm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                 ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 2>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true, true>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   344 |       return unblocked(m);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   456 |   bool ok = Traits::inplace_decomposition(m_matrix);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   363 |       if((ret=unblocked(A11))>=0) return k+ret;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   456 |   bool ok = Traits::inplace_decomposition(m_matrix);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   363 |       if((ret=unblocked(A11))>=0) return k+ret;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   456 |   bool ok = Traits::inplace_decomposition(m_matrix);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 0> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 0> >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:129:63:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   129 |         m_se              = Ch.matrixL().solve(I_p()).colwise().norm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                      ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   361 |           A21.noalias() -= A20 * temp.head(k);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   361 |           A21.noalias() -= A20 * temp.head(k);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   369 |     hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     370 |                                   * (conj(h) * matA.col(i).tail(remainingSize)));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   449 |     tridiagonalization_inplace(mat, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       compute(matrix.derived(), options);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:180:69:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   180 |         SelfAdjointEigenSolver<MatrixXd> eig(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   372 |     hCoeffs.tail(n-i-1) += (conj(h)*RealScalar(-0.5)*(hCoeffs.tail(remainingSize).dot(matA.col(i).tail(remainingSize)))) * matA.col(i).tail(n-i-1);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   449 |     tridiagonalization_inplace(mat, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       compute(matrix.derived(), options);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:180:69:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   180 |         SelfAdjointEigenSolver<MatrixXd> eig(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   129 |     tmp.noalias() = essential.adjoint() * bottom;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   129 |     tmp.noalias() = essential.adjoint() * bottom;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   129 |     tmp.noalias() = essential.adjoint() * bottom;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:97:23:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    97 |             m_fitted   = X * m_coef;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                              ^~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, true, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:97:23:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    97 |             m_fitted   = X * m_coef;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                              ^~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   194 |             ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                   ~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 64>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 8, 8, 0, 8, 8>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   178 | class Matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   150 |     Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer(a);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                    ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1, 0, -1, 1>; typename Dest::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     439 |       Mode, LhsIsTriangular,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~
     440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     443 |       ::run(
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~^
     444 |         stripedRows, stripedCols, stripedDepth,   // sizes
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     448 |         actualAlpha, blocking
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~
     449 |       );
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~     
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |   mat.noalias() -= V * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   103 |   mat.noalias() -= V * tmp;
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |   ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                     ^~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |   mat.noalias() -= V * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 8>’:
../inst/include/Eigen/src/Core/DenseBase.h:179:81:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                     ^~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   153 |       triangularBuffer.diagonal().setZero();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1, 0, -1, 1>; typename Dest::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     439 |       Mode, LhsIsTriangular,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~
     440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     443 |       ::run(
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~^
     444 |         stripedRows, stripedCols, stripedDepth,   // sizes
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     448 |         actualAlpha, blocking
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~
     449 |       );
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~     
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |   mat.noalias() -= V * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/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]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   295 |     mat.bottomRightCorner(remainingRows, remainingCols)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   295 |     mat.bottomRightCorner(remainingRows, remainingCols)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |   mat.noalias() -= V * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                                       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |   mat.noalias() -= V * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |   mat.noalias() -= V * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                               ^~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:127:46:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   127 |         m_coef            = Ch.solve(X.adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:127:46:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   127 |         m_coef            = Ch.solve(X.adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:127:46:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   127 |         m_coef            = Ch.solve(X.adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:127:46:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   127 |         m_coef            = Ch.solve(X.adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                               ^~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:127:46:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   127 |         m_coef            = Ch.solve(X.adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:127:46:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   127 |         m_coef            = Ch.solve(X.adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                                       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:164:36:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   164 |         m_coef      = VDi * U.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                           ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:164:36:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   164 |         m_coef      = VDi * U.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                           ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   303 |             dst.bottomRightCorner(cornerSize, cornerSize)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     304 |                .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   232 |       if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   306 |             dst.bottomRightCorner(cornerSize, cornerSize)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     307 |                .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   232 |       if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                              ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   374 |     matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     375 |       .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   449 |     tridiagonalization_inplace(mat, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       compute(matrix.derived(), options);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:180:69:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   180 |         SelfAdjointEigenSolver<MatrixXd> eig(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                            ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true, false>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                                                       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true, Eigen::Dense>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                                 ^~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:183:55:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                              ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’:
../inst/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<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = swap_assign_op<double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   774 |   SrcEvaluatorType srcEvaluator(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = swap_assign_op<double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:424:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   424 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1> >, 2>; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1> >, 2>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >, 2>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:99:55:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    99 |                 triangularView<Upper>().solve(I_p()).rowwise().norm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                     ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                                       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
../inst/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   341 |       dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   423 |       : Base(other.derived())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ^
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                              ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 0, -1, 1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; typename Dest::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   423 |       : Base(other.derived())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ^
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                              ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                                       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   423 |       : Base(other.derived())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ^
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                              ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   423 |       : Base(other.derived())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ^
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                              ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   423 |       : Base(other.derived())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ^
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                              ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    38 |                    >::type Scalar;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   423 |       : Base(other.derived())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ^
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                              ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 0, -1, 1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; typename Dest::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   423 |       : Base(other.derived())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ^
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                              ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   883 |       this->_set_noalias(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/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::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:106:61:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   106 |         m_coef.head(m_r)                  = Rinv * effects.head(m_r);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                    ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   883 |       this->_set_noalias(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/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::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:106:61:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   106 |         m_coef.head(m_r)                  = Rinv * effects.head(m_r);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                    ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
../inst/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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   780 |   DstEvaluatorType dstEvaluator(dst);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   295 |     mat.bottomRightCorner(remainingRows, remainingCols)
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   295 |     mat.bottomRightCorner(remainingRows, remainingCols)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>; ResScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   344 |       return unblocked(m);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   456 |   bool ok = Traits::inplace_decomposition(m_matrix);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   363 |       if((ret=unblocked(A11))>=0) return k+ret;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   456 |   bool ok = Traits::inplace_decomposition(m_matrix);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   363 |       if((ret=unblocked(A11))>=0) return k+ret;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   456 |   bool ok = Traits::inplace_decomposition(m_matrix);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    90 | struct evaluator : public unary_evaluator<T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   361 |           A21.noalias() -= A20 * temp.head(k);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   414 |   ThisEvaluator thisEval(derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   361 |           A21.noalias() -= A20 * temp.head(k);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   120 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:133:50:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   133 |         LDLT<MatrixXd> Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                         ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   306 |             dst.bottomRightCorner(cornerSize, cornerSize)
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     307 |                .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   232 |       if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:337:
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’:
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     229 |       (
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^
     230 |         lhs.rows(),                             // size
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     232 |         actualRhsPtr,                           // rhs info
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     233 |         actualDestPtr,                          // result info
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     234 |         actualAlpha                             // scale factor
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     235 |       );
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:805:109:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   805 |     selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   369 |     hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     370 |                                   * (conj(h) * matA.col(i).tail(remainingSize)));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   449 |     tridiagonalization_inplace(mat, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       compute(matrix.derived(), options);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:180:69:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   180 |         SelfAdjointEigenSolver<MatrixXd> eig(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                            ^
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   62 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
      |                                                                                                                         ^~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   63 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
      |                                                                                                                         ^~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>’
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>’
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:183:55:   required from here
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning:       |                                                              ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    90 | struct evaluator : public unary_evaluator<T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   129 |     tmp.noalias() = essential.adjoint() * bottom;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   414 |   ThisEvaluator thisEval(derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   129 |     tmp.noalias() = essential.adjoint() * bottom;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                            ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:97:23:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    97 |             m_fitted   = X * m_coef;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                              ^~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:97:23:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    97 |             m_fitted   = X * m_coef;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                              ^~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’:
../inst/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<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   774 |   SrcEvaluatorType srcEvaluator(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1> >, 2>; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1> >, 2>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >, 2>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:99:55:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    99 |                 triangularView<Upper>().solve(I_p()).rowwise().norm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                     ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   423 |       : Base(other.derived())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ^
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                              ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                     ^~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   423 |       : Base(other.derived())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ^
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                              ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   347 |   return derived() = Constant(rows(), cols(), val);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   548 |   return setConstant(Scalar(0));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |   mat.noalias() -= V * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   347 |   return derived() = Constant(rows(), cols(), val);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   548 |   return setConstant(Scalar(0));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |   mat.noalias() -= V * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’:
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   414 |   ThisEvaluator thisEval(derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; ResultType = double; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    97 |     { return mat.MEMBER(); }                                                                \
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~
../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:589:40:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1> >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:112:58:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         m_se.head(m_r)                    = Rinv.rowwise().norm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                 ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   295 |     mat.bottomRightCorner(remainingRows, remainingCols)
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   295 |     mat.bottomRightCorner(remainingRows, remainingCols)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                              ^~~
../inst/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                                       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                              ^~~
../inst/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                              ^~~
../inst/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    90 | struct evaluator : public unary_evaluator<T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:127:46:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   127 |         m_coef            = Ch.solve(X.adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                     ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    90 | struct evaluator : public unary_evaluator<T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:127:46:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   127 |         m_coef            = Ch.solve(X.adjoint() * y);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                     ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   414 |   ThisEvaluator thisEval(derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    97 |     { return mat.MEMBER(); }                                                                \
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~~^~
../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:589:40:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 0> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 0> >]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:129:63:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   129 |         m_se              = Ch.matrixL().solve(I_p()).colwise().norm();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                      ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |            ~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:164:36:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   164 |         m_coef      = VDi * U.adjoint() * y;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                           ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:164:36:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   164 |         m_coef      = VDi * U.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                           ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>; ResScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   303 |             dst.bottomRightCorner(cornerSize, cornerSize)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     304 |                .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   232 |       if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   306 |             dst.bottomRightCorner(cornerSize, cornerSize)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     307 |                .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   232 |       if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   306 |             dst.bottomRightCorner(cornerSize, cornerSize)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     307 |                .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   232 |       if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:166:
../inst/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’:
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68:   required from ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    89 |     Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     229 |       (
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^
     230 |         lhs.rows(),                             // size
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     232 |         actualRhsPtr,                           // rhs info
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     233 |         actualDestPtr,                          // result info
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     234 |         actualAlpha                             // scale factor
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     235 |       );
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:805:109:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   805 |     selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   369 |     hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     370 |                                   * (conj(h) * matA.col(i).tail(remainingSize)));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   449 |     tridiagonalization_inplace(mat, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |       compute(matrix.derived(), options);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:180:69:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   180 |         SelfAdjointEigenSolver<MatrixXd> eig(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                            ^
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  500 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> > >’
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> > >’
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >’
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning:       |            ~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:183:55:   required from here
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning:       |                                                              ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:183:55:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                              ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
../inst/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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   780 |   DstEvaluatorType dstEvaluator(dst);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   132 |     bottom.noalias() -= tau * essential * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                            ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   129 |     tmp.noalias() = essential.adjoint() * bottom;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   129 |     tmp.noalias() = essential.adjoint() * bottom;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   132 |     bottom.noalias() -= tau * essential * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   132 |     bottom.noalias() -= tau * essential * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   132 |     bottom.noalias() -= tau * essential * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    90 | struct evaluator : public unary_evaluator<T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   883 |       this->_set_noalias(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/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::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:106:61:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   106 |         m_coef.head(m_r)                  = Rinv * effects.head(m_r);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                    ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   414 |   ThisEvaluator thisEval(derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   344 |       return unblocked(m);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   456 |   bool ok = Traits::inplace_decomposition(m_matrix);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                         ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    90 | struct evaluator : public unary_evaluator<T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   363 |       if((ret=unblocked(A11))>=0) return k+ret;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |               ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   456 |   bool ok = Traits::inplace_decomposition(m_matrix);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                         ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   414 |   ThisEvaluator thisEval(derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   363 |       if((ret=unblocked(A11))>=0) return k+ret;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |               ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42:   required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   456 |   bool ok = Traits::inplace_decomposition(m_matrix);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   109 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:126:50:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   126 |         LLT<MatrixXd>  Ch(XtX().selfadjointView<Lower>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                         ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   129 |     tmp.noalias() = essential.adjoint() * bottom;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   477 |   computeInPlace();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   137 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:92:37:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    92 |         ColPivHouseholderQR<MatrixXd> PQR(X); // decompose the model matrix
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                            ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:  1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                                                              ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:96:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    96 |             m_coef     = PQR.solve(y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                     ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   774 |   SrcEvaluatorType srcEvaluator(src);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:96:30:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    96 |             m_coef     = PQR.solve(y);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    90 | struct evaluator : public unary_evaluator<T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:97:23:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    97 |             m_fitted   = X * m_coef;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                              ^~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   414 |   ThisEvaluator thisEval(derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:97:23:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    97 |             m_fitted   = X * m_coef;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                              ^~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    90 | struct evaluator : public unary_evaluator<T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   347 |   return derived() = Constant(rows(), cols(), val);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   548 |   return setConstant(Scalar(0));
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   423 |       : Base(other.derived())
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                             ^
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |   mat.noalias() -= V * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >’:
../inst/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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   774 |   SrcEvaluatorType srcEvaluator(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |   mat.noalias() -= V * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   774 |   SrcEvaluatorType srcEvaluator(src);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   103 |   mat.noalias() -= V * tmp;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >’:
../inst/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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   780 |   DstEvaluatorType dstEvaluator(dst);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   103 |   mat.noalias() -= V * tmp;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    90 | struct evaluator : public unary_evaluator<T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   295 |     mat.bottomRightCorner(remainingRows, remainingCols)
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   414 |   ThisEvaluator thisEval(derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   295 |     mat.bottomRightCorner(remainingRows, remainingCols)
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:127:46:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   127 |         m_coef            = Ch.solve(X.adjoint() * y);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    97 |     { return mat.MEMBER(); }                                                                \
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |              ~~~~~~~~~~^~
../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:589:40:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 0> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 0> >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:129:63:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   129 |         m_se              = Ch.matrixL().solve(I_p()).colwise().norm();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                                                      ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    90 | struct evaluator : public unary_evaluator<T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |        ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:164:36:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   164 |         m_coef      = VDi * U.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                           ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   414 |   ThisEvaluator thisEval(derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:164:36:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   164 |         m_coef      = VDi * U.adjoint() * y;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                           ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   414 |   ThisEvaluator thisEval(derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   303 |             dst.bottomRightCorner(cornerSize, cornerSize)
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     304 |                .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   232 |       if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    90 | struct evaluator : public unary_evaluator<T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   306 |             dst.bottomRightCorner(cornerSize, cornerSize)
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     307 |                .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   232 |       if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    90 | struct evaluator : public unary_evaluator<T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:183:55:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                              ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:19:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   101 |   if(forward) tmp = T.template triangularView<Upper>()           * tmp;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |               ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 0, -1, 1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1, 0, -1, 1>; typename Dest::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:19:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   101 |   if(forward) tmp = T.template triangularView<Upper>()           * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:19:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   102 |   else        tmp = T.template triangularView<Upper>().adjoint() * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 0, -1, 1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1, 0, -1, 1>; typename Dest::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:19:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   102 |   else        tmp = T.template triangularView<Upper>().adjoint() * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                              ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   414 |   ThisEvaluator thisEval(derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   129 |     tmp.noalias() = essential.adjoint() * bottom;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   414 |   ThisEvaluator thisEval(derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   132 |     bottom.noalias() -= tau * essential * tmp;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
../inst/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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   780 |   DstEvaluatorType dstEvaluator(dst);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   295 |     mat.bottomRightCorner(remainingRows, remainingCols)
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’:
../inst/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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   774 |   SrcEvaluatorType srcEvaluator(src);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   103 |   mat.noalias() -= V * tmp;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
../inst/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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   780 |   DstEvaluatorType dstEvaluator(dst);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   103 |   mat.noalias() -= V * tmp;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   327 |     internal::triangular_matrix_vector_product
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     328 |       <Index,Mode,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~
     329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     331 |        RowMajor>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ~~~~~~~~~
     332 |       ::run(actualLhs.rows(),actualLhs.cols(),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     333 |             actualLhs.data(),actualLhs.outerStride(),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     334 |             actualRhsPtr,1,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~
     335 |             dest.data(),dest.innerStride(),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     336 |             actualAlpha);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:  1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    90 | struct evaluator : public unary_evaluator<T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |        ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    90 | struct evaluator : public unary_evaluator<T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   774 |   SrcEvaluatorType srcEvaluator(src);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’:
../inst/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<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   780 |   DstEvaluatorType dstEvaluator(dst);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >’:
../inst/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<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   774 |   SrcEvaluatorType srcEvaluator(src);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   423 |       : Base(other.derived())
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                             ^
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >’:
../inst/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<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   780 |   DstEvaluatorType dstEvaluator(dst);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   423 |       : Base(other.derived())
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                             ^
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   774 |   SrcEvaluatorType srcEvaluator(src);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   423 |       : Base(other.derived())
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                             ^
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >’:
../inst/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<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   780 |   DstEvaluatorType dstEvaluator(dst);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   423 |       : Base(other.derived())
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                             ^
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   295 |     mat.bottomRightCorner(remainingRows, remainingCols)
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   306 |             dst.bottomRightCorner(cornerSize, cornerSize)
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     307 |                .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   232 |       if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   549 |       compute(matrix, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10:   required from ‘Eigen::JacobiSVD<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::jacobiSvd(unsigned int) const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   807 |   return JacobiSVD<PlainObject>(*this, computationOptions);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:170:38:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   170 |         JacobiSVD<MatrixXd>  UDV(X.jacobiSvd(ComputeThinU|ComputeThinV));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:183:55:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                                              ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                                    ~~~~~~~~~~~^~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   129 |     tmp.noalias() = essential.adjoint() * bottom;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
../inst/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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   774 |   SrcEvaluatorType srcEvaluator(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                                                              ^~~
../inst/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                     ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
../inst/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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   780 |   DstEvaluatorType dstEvaluator(dst);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~
../inst/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   181 |       computeInPlace();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   114 |       compute(matrix.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastLm.cpp:117:30:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   117 |         HouseholderQR<MatrixXd> QR(X);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, 8>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, Eigen::Dense>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:577:26:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> > >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> > >]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:141:62:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   141 |         m_se              = Ch.solve(I_p()).diagonal().array().sqrt();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2, 8>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:610:38:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> > >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> > >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:141:62:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   141 |         m_se              = Ch.solve(I_p()).diagonal().array().sqrt();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:164:36:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   164 |         m_coef      = VDi * U.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                           ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:164:36:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   164 |         m_coef      = VDi * U.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                           ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                                      ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:164:36:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   164 |         m_coef      = VDi * U.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                           ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 7>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:164:36:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   164 |         m_coef      = VDi * U.adjoint() * y;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                           ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:183:55:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                              ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, 7>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:183:55:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                              ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:183:55:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                              ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                                      ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:183:55:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                              ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:183:55:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                              ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:127:46:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   127 |         m_coef            = Ch.solve(X.adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:164:36:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   164 |         m_coef      = VDi * U.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                           ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:164:36:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   164 |         m_coef      = VDi * U.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                           ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:164:36:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   164 |         m_coef      = VDi * U.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                           ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, 8>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:183:55:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                              ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   347 |   return derived() = Constant(rows(), cols(), val);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   548 |   return setConstant(Scalar(0));
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:183:55:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                              ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 0>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:183:55:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                              ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true, false>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                                       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:183:55:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                              ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’:
../inst/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<Eigen::Matrix<double, -1, 1>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Functor = swap_assign_op<double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   774 |   SrcEvaluatorType srcEvaluator(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Func = swap_assign_op<double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:424:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   424 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:1129:51:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:139:46:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   139 |         m_coef            = Ch.solve(X.adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                     ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:164:36:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   164 |         m_coef      = VDi * U.adjoint() * y;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                           ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:164:36:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   164 |         m_coef      = VDi * U.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                           ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 1>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 3>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:183:55:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                              ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:183:55:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                              ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:183:55:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                              ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                              ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   774 |   SrcEvaluatorType srcEvaluator(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:19:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   101 |   if(forward) tmp = T.template triangularView<Upper>()           * tmp;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   774 |   SrcEvaluatorType srcEvaluator(src);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:19:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   102 |   else        tmp = T.template triangularView<Upper>().adjoint() * tmp;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |               ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastLm.cpp:105:67:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   105 |         VectorXd                  effects(PQR.householderQ().adjoint() * y);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                          ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:127:46:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   127 |         m_coef            = Ch.solve(X.adjoint() * y);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:127:46:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   127 |         m_coef            = Ch.solve(X.adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:164:36:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   164 |         m_coef      = VDi * U.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                           ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:164:36:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   164 |         m_coef      = VDi * U.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                           ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:164:36:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   164 |         m_coef      = VDi * U.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                           ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:183:55:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                              ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:183:55:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                              ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:183:55:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                              ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    90 | struct evaluator : public unary_evaluator<T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:127:46:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   127 |         m_coef            = Ch.solve(X.adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                     ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   414 |   ThisEvaluator thisEval(derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:164:36:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   164 |         m_coef      = VDi * U.adjoint() * y;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                           ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    90 | struct evaluator : public unary_evaluator<T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:164:36:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   164 |         m_coef      = VDi * U.adjoint() * y;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                           ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   414 |   ThisEvaluator thisEval(derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:183:55:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                              ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    90 | struct evaluator : public unary_evaluator<T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:183:55:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                              ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:164:36:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   164 |         m_coef      = VDi * U.adjoint() * y;
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                           ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:183:55:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                              ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:127:46:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   127 |         m_coef            = Ch.solve(X.adjoint() * y);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                     ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’:
../inst/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<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   780 |   DstEvaluatorType dstEvaluator(dst);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                    ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   954 |     call_dense_assignment_loop(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/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<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/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<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   858 |   call_assignment_no_alias(dst, src, func);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:296:25:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   332 |       Base::template _init1<T>(x);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   850 |   typename plain_matrix_type<Src>::type tmp(src);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                         ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   779 |       internal::call_assignment(this->derived(), other.derived());
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   225 |       return Base::_set(other);
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |              ~~~~~~~~~~^~~~~~~
fastLm.cpp:183:55:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   183 |         m_coef         = VDi * VDi.adjoint() * X.adjoint() * y;
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                                              ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function ‘Eigen::internal::selfadjoint_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, false>, 17, false, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, -1, 1> const> const, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, 1, true>, -1, 1, false> const>, 0, true>::run<Eigen::Block<Eigen::Matrix<double, -1, 1, 0, -1, 1>, -1, 1, false> >(Eigen::Block<Eigen::Matrix<double, -1, 1, 0, -1, 1>, -1, 1, false>&, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, false> const&, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, -1, 1> const> const, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, 1, true>, -1, 1, false> const> const&, double const&)void [clone .isra.0]’:
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: ‘result_66’ may be used uninitialized [-Wmaybe-uninitialized]
  227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |       (
      |       ^
  230 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |       );
      |       ~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type ‘const double *’ to ‘Eigen::internal::selfadjoint_matrix_vector_product<double, long, 0, 1, false, false, 0>::run(long, double const*, long, double const*, double*, double)’ declared here
   41 | void selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,Version>::run(
      |      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:341:
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘Eigen::internal::trmv_selector<6, 1>::run<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, false> const, -1, -1, false> const>, Eigen::Transpose<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1, 1, 1, -1> const> const, Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, false> const, -1, 1, true> const, -1, 1, false> const> const> const>, Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >(Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, false> const, -1, -1, false> const> const&, Eigen::Transpose<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1, 1, 1, -1> const> const, Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, false> const, -1, 1, true> const, -1, 1, false> const> const> const> const&, Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >&, Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >::Scalar const&)void [clone .isra.0]’:
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result_43’ may be used uninitialized [-Wmaybe-uninitialized]
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double *’ to ‘Eigen::internal::triangular_matrix_vector_product<long, 6, double, false, double, false, 1, 0>::run(long, long, double const*, long, double const*, long, double*, long, double const&)’ declared here
  105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,RowMajor,Version>
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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-errors -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -o RcppEigen.so RcppEigen.o RcppExports.o fastLm.o -lflexiblas -lgfortran -lm -lquadmath -L/usr/lib64/R/lib -lR
installing to /builddir/build/BUILDROOT/R-CRAN-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.x86_64/usr/local/lib/R/library/00LOCK-RcppEigen/00new/RcppEigen/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
  converting help for package ‘RcppEigen’
    finding HTML links ... done
    RcppEigen-package                       html  
    RcppEigen.package.skeleton              html  
    fastLm                                  html  
** building package indices
** installing vignettes
** 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 (RcppEigen)
+ test -d RcppEigen/src
+ cd RcppEigen/src
+ rm -f RcppEigen.o RcppExports.o fastLm.o RcppEigen.so
+ rm -f /builddir/build/BUILDROOT/R-CRAN-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.x86_64/usr/local/lib/R/library/R.css
+ find /builddir/build/BUILDROOT/R-CRAN-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.x86_64/usr/local/lib/R/library -type f -exec sed -i s@/builddir/build/BUILDROOT/R-CRAN-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.x86_64@@g '{}' ';'
+ /usr/bin/find-debuginfo -j4 --strict-build-id -m -i --build-id-seed 0.3.4.0.0-1.fc41.copr7353593 --unique-debug-suffix -0.3.4.0.0-1.fc41.copr7353593.x86_64 --unique-debug-src-base R-CRAN-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/RcppEigen
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-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.x86_64
5003 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
*** WARNING: ./usr/src/debug/R-CRAN-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.x86_64/RcppEigen/inst/include/Eigen/src/Core/util/Meta.h is executable but has no shebang, removing executable bit
*** WARNING: ./usr/src/debug/R-CRAN-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.x86_64/RcppEigen/inst/include/Eigen/src/Core/util/BlasUtil.h is executable but has no shebang, removing executable bit
*** WARNING: ./usr/src/debug/R-CRAN-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.x86_64/RcppEigen/inst/include/Eigen/src/Core/arch/SSE/PacketMath.h is executable but has no shebang, removing executable bit
*** WARNING: ./usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/IDRS.h is executable but has no shebang, removing executable bit
*** WARNING: ./usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/AutoDiff/AutoDiffScalar.h is executable but has no shebang, removing executable bit
*** WARNING: ./usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionSycl.h is executable but has no shebang, removing executable bit
*** WARNING: ./usr/local/lib/R/library/RcppEigen/include/Eigen/src/misc/lapacke.h is executable but has no shebang, removing executable bit
*** WARNING: ./usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign_MKL.h is executable but has no shebang, removing executable bit
*** WARNING: ./usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h is executable but has no shebang, removing executable bit
*** WARNING: ./usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/DisableStupidWarnings.h is executable but has no shebang, removing executable bit
*** WARNING: ./usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/MKL_support.h is executable but has no shebang, removing executable bit
*** WARNING: ./usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Meta.h is executable but has no shebang, removing executable bit
*** WARNING: ./usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/ZVector/PacketMath.h is executable but has no shebang, removing executable bit
*** WARNING: ./usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h is executable but has no shebang, removing executable bit
*** WARNING: ./usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/AltiVec/PacketMath.h is executable but has no shebang, removing executable bit
+ /usr/lib/rpm/brp-remove-la-files
+ env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j4
+ /usr/lib/rpm/redhat/brp-python-hardlink
Processing files: R-CRAN-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.x86_64
Provides: R-CRAN-RcppEigen = 0.3.4.0.0-1.fc41.copr7353593 R-CRAN-RcppEigen(x86-64) = 0.3.4.0.0-1.fc41.copr7353593
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) libflexiblas.so.3()(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(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-RcppEigen-debugsource-0.3.4.0.0-1.fc41.copr7353593.x86_64
Provides: R-CRAN-RcppEigen-debugsource = 0.3.4.0.0-1.fc41.copr7353593 R-CRAN-RcppEigen-debugsource(x86-64) = 0.3.4.0.0-1.fc41.copr7353593
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Processing files: R-CRAN-RcppEigen-debuginfo-0.3.4.0.0-1.fc41.copr7353593.x86_64
Provides: R-CRAN-RcppEigen-debuginfo = 0.3.4.0.0-1.fc41.copr7353593 R-CRAN-RcppEigen-debuginfo(x86-64) = 0.3.4.0.0-1.fc41.copr7353593 debuginfo(build-id) = bed2b0bb1ec2353cf187cc1f4c637e0073c17ec3
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Recommends: R-CRAN-RcppEigen-debugsource(x86-64) = 0.3.4.0.0-1.fc41.copr7353593
Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILDROOT/R-CRAN-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.x86_64
Wrote: /builddir/build/RPMS/R-CRAN-RcppEigen-debugsource-0.3.4.0.0-1.fc41.copr7353593.x86_64.rpm
Wrote: /builddir/build/RPMS/R-CRAN-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.x86_64.rpm
Wrote: /builddir/build/RPMS/R-CRAN-RcppEigen-debuginfo-0.3.4.0.0-1.fc41.copr7353593.x86_64.rpm
Executing(%clean): /bin/sh -e /var/tmp/rpm-tmp.B8wm3j
+ umask 022
+ cd /builddir/build/BUILD
+ cd RcppEigen
+ /usr/bin/rm -rf /builddir/build/BUILDROOT/R-CRAN-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.x86_64
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.1lHce6
+ umask 022
+ cd /builddir/build/BUILD
+ rm -rf /builddir/build/BUILD/RcppEigen-SPECPARTS
+ rm -rf RcppEigen RcppEigen.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-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.src.rpm
Finish: build phase for R-CRAN-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.src.rpm
INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan
INFO: /var/lib/mock/fedora-rawhide-x86_64-1714106898.767203/root/var/log/dnf5.log
INFO: Done(/var/lib/copr-rpmbuild/results/R-CRAN-RcppEigen-0.3.4.0.0-1.fc41.copr7353593.src.rpm) Config(child) 1 minutes 3 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": [
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            "epoch": null,
            "version": "0.3.4.0.0",
            "release": "1.fc41.copr7353593",
            "arch": "x86_64"
        },
        {
            "name": "R-CRAN-RcppEigen-debugsource",
            "epoch": null,
            "version": "0.3.4.0.0",
            "release": "1.fc41.copr7353593",
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        },
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            "arch": "x86_64"
        },
        {
            "name": "R-CRAN-RcppEigen",
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            "version": "0.3.4.0.0",
            "release": "1.fc41.copr7353593",
            "arch": "src"
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}
RPMResults finished