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). For the details of the methods, see the reference section of GitHub <>.

Version: 1.0.0
Depends: R (≥ 3.4.0)
Imports: irlba
Suggests: fields, knitr, rmarkdown, testthat
Published: 2023-05-12
DOI: 10.32614/CRAN.package.guidedPLS
Author: Koki Tsuyuzaki [aut, cre]
Maintainer: Koki Tsuyuzaki <k.t.the-answer at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: NEWS
CRAN checks: guidedPLS results


Reference manual: guidedPLS.pdf
Vignettes: 1. Partial Least Squares (PLS) Models
2. Guided Partial Least Squares (guided-PLS)


Package source: guidedPLS_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): guidedPLS_1.0.0.tgz, r-oldrel (arm64): guidedPLS_1.0.0.tgz, r-release (x86_64): guidedPLS_1.0.0.tgz, r-oldrel (x86_64): guidedPLS_1.0.0.tgz
Old sources: guidedPLS archive


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