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spls: Sparse Partial Least Squares (SPLS) Regression and Classification

Provides functions for fitting a sparse partial least squares (SPLS) regression and classification (Chun and Keles (2010) <doi:10.1111/j.1467-9868.2009.00723.x>).

Version: 2.2-3
Depends: R (≥ 2.14)
Imports: MASS, nnet, parallel, pls
Published: 2019-05-04
DOI: 10.32614/CRAN.package.spls
Author: Dongjun Chung, Hyonho Chun, Sunduz Keles
Maintainer: Valentin Todorov <valentin.todorov at chello.at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: ChangeLog
In views: ChemPhys
CRAN checks: spls results

Documentation:

Reference manual: spls.pdf
Vignettes: Sparse PLS

Downloads:

Package source: spls_2.2-3.tar.gz
Windows binaries: r-devel: spls_2.2-3.zip, r-release: spls_2.2-3.zip, r-oldrel: spls_2.2-3.zip
macOS binaries: r-release (arm64): spls_2.2-3.tgz, r-oldrel (arm64): spls_2.2-3.tgz, r-release (x86_64): spls_2.2-3.tgz, r-oldrel (x86_64): spls_2.2-3.tgz
Old sources: spls archive

Reverse dependencies:

Reverse imports: bootPLS, enpls, rrcovHD, SelectBoost, SmCCNet
Reverse suggests: caret, flowml, fscaret, joinet, Patterns, subsemble, SuperLearner, superMICE

Linking:

Please use the canonical form https://CRAN.R-project.org/package=spls 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.