The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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 README.md <https://github.com/rikenbit/guidedPLS>.

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

Downloads:

Package source: guidedPLS_1.0.0.tar.gz
Windows binaries: r-devel: guidedPLS_1.0.0.zip, r-release: guidedPLS_1.0.0.zip, r-oldrel: guidedPLS_1.0.0.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=guidedPLS to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.