plsdof: Degrees of Freedom and Statistical Inference for Partial Least Squares Regression

The plsdof package provides Degrees of Freedom estimates for Partial Least Squares (PLS) Regression. Model selection for PLS is based on various information criteria (aic, bic, gmdl) or on cross-validation. Estimates for the mean and covariance of the PLS regression coefficients are available. They allow the construction of approximate confidence intervals and the application of test procedures (Kramer and Sugiyama 2012 <doi:10.1198/jasa.2011.tm10107>). Further, cross-validation procedures for Ridge Regression and Principal Components Regression are available.

Version: 0.3-2
Depends: MASS
Published: 2022-11-30
DOI: 10.32614/CRAN.package.plsdof
Author: Nicole Kraemer, Mikio L. Braun
Maintainer: Frederic Bertrand <frederic.bertrand at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: plsdof citation info
Materials: README NEWS ChangeLog
CRAN checks: plsdof results


Reference manual: plsdof.pdf


Package source: plsdof_0.3-2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): plsdof_0.3-2.tgz, r-oldrel (arm64): plsdof_0.3-2.tgz, r-release (x86_64): plsdof_0.3-2.tgz, r-oldrel (x86_64): plsdof_0.3-2.tgz
Old sources: plsdof archive

Reverse dependencies:

Reverse suggests: bootPLS, plsRbeta, plsRcox, plsRglm


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