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plsdof  

Degrees of Freedom and Statistical Inference for Partial Least Squares Regression
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", "0.3-2")



Attach the package and use:
library("plsdof")
Maintained by
Frederic Bertrand
[Scholar Profile | Author Map]
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 0.3-2, https://cran.r-project.org/web/packages/plsdof. Accessed 06 Apr. 2025.
Previous versions and publish date:
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)
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
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