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plsdof
View on CRAN: Click
here
Download and install plsdof package within the R console
Install from CRAN:
install.packages("plsdof")
Install from Github:
library("remotes")
install_github("cran/plsdof") Install by package version:
library("remotes")
install_version("plsdof", "0.5-0") Attach the package and use:
library("plsdof")
Maintained by
Frederic Bertrand
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All associated links for this package
First Published: 2009-11-16
Latest Update: 2022-11-30
Description:
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 ).
Further, cross-validation procedures for Ridge Regression and
Principal Components Regression are available.
How to cite:
Frederic Bertrand (2009). plsdof: Degrees of Freedom and Statistical Inference for Partial Least Squares Regression. R package version 0.5-0, https://cran.r-project.org/web/packages/plsdof. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:42), 0.1-1 (2009-11-27 19:13), 0.1 (2009-11-16 14:19), 0.2-0 (2010-02-23 08:33), 0.2-1 (2010-06-03 19:00), 0.2-2 (2011-04-28 15:49), 0.2-3 (2012-07-26 12:32), 0.2-4 (2012-11-23 15:41), 0.2-5 (2013-02-06 18:49), 0.2-6 (2013-03-19 15:17), 0.2-7.1 (2018-07-21 19:12), 0.2-7 (2014-09-04 15:41), 0.2-8 (2018-08-28 23:20), 0.2-9 (2019-01-31 20:00), 0.3-0 (2021-03-14 16:40), 0.3-2 (2022-11-30 09:10), 0.4-0 (2025-09-14 02:00)
Other packages that cited plsdof R package
View plsdof citation profile
Other R packages that plsdof depends,
imports, suggests or enhances
Complete documentation for plsdof
Functions, R codes and Examples using
the plsdof R package
Some associated functions: benchmark.pls . benchmark.regression . coef.plsdof . compute.lower.bound . dA . dnormalize . dvvtz . first.local.minimum . information.criteria . kernel.pls.fit . krylov . linear.pls.fit . normalize . pcr.cv . pcr . pls.cv . pls.dof . pls.ic . pls.model . plsdof-package . ridge.cv . tr . vcov.plsdof . vvtz .
Some associated R codes: benchmark.pls.R . benchmark.regression.R . coef.plsdof.R . compute.lower.bound.R . dA.R . dnormalize.R . first.local.minimum.R . information.criteria.R . kernel.pls.fit.R . linear.pls.fit.R . normalize.R . pcr.R . pcr.cv.R . pls.cv.R . pls.dof.R . pls.ic.R . pls.model.R . plsdof-package.R . ridge.cv.R . vcov.plsdof.R . Full plsdof package functions and examples
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