Package: guidedPLS
Type: Package
Title: Supervised Dimensional Reduction by Guided Partial Least Squares
Version: 1.2.1
Authors@R: c(person("Koki", "Tsuyuzaki", role = c("aut", "cre"),
                      email = "k.t.the-answer@hotmail.co.jp"))
Depends: R (>= 3.4.0)
Imports: irlba, Matrix, stats
Suggests: fields, iTensor (>= 1.0.6), knitr, rmarkdown, testthat
Description: Guided partial least squares (guided-PLS) is the
        combination of partial least squares by singular value
        decomposition (PLS-SVD) and guided principal component analysis
        (guided-PCA). This package provides implementations of PLS-SVD,
        guided-PLS, and guided-PCA for supervised dimensionality
        reduction. The guided-PCA function (new in v1.1.0)
        automatically handles mixed data types (continuous and
        categorical) in the supervision matrix and provides detailed
        contribution analysis for interpretability. For the details of
        the methods, see the reference section of GitHub README.md
        <https://github.com/rikenbit/guidedPLS>.
License: MIT + file LICENSE
URL: https://github.com/rikenbit/guidedPLS
VignetteBuilder: knitr
Repository: https://rikenbit.r-universe.dev
Date/Publication: 2026-06-28 12:48:17 UTC
RemoteUrl: https://github.com/rikenbit/guidedpls
RemoteRef: HEAD
RemoteSha: ab5a14ebba10231fefc1c4d10a108841498f434b
NeedsCompilation: no
Packaged: 2026-06-28 13:30:12 UTC; root
Author: Koki Tsuyuzaki [aut, cre]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>