guidedPLS: Supervised Dimensional Reduction by Guided Partial Least Squares

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>.

Version:	1.1.0
Depends:	R (≥ 3.4.0)
Imports:	irlba, stats
Suggests:	fields, geigen, knitr, rmarkdown, testthat
Published:	2025-08-25
DOI:	10.32614/CRAN.package.guidedPLS
Author:	Koki Tsuyuzaki [aut, cre]
Maintainer:	Koki Tsuyuzaki <k.t.the-answer at hotmail.co.jp>
License:	MIT + file LICENSE
URL:	https://github.com/rikenbit/guidedPLS
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	guidedPLS results

Documentation:

Reference manual:	guidedPLS.html , guidedPLS.pdf
Vignettes:	1. Partial Least Squares (PLS) Models (source, R code) 2. Guided Partial Least Squares (guided-PLS) (source, R code)

Downloads:

Package source:	guidedPLS_1.1.0.tar.gz
Windows binaries:	r-devel: guidedPLS_1.1.0.zip, r-release: guidedPLS_1.1.0.zip, r-oldrel: guidedPLS_1.1.0.zip
macOS binaries:	r-release (arm64): guidedPLS_1.1.0.tgz, r-oldrel (arm64): guidedPLS_1.1.0.tgz, r-release (x86_64): guidedPLS_1.1.0.tgz, r-oldrel (x86_64): guidedPLS_1.1.0.tgz
Old sources:	guidedPLS archive

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