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. Further, cross-validation procedures for Ridge Regression and Principal Components Regression are available.


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Reference manual

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install.packages("plsdof")

0.2-9 by Frederic Bertrand, 5 months ago


https://github.com/fbertran/plsdof


Report a bug at https://github.com/fbertran/plsdof/issues


Browse source code at https://github.com/cran/plsdof


Authors: Nicole Kraemer , Mikio L. Braun


Documentation:   PDF Manual  


GPL (>= 2) license


Depends on MASS


Suggested by plsRbeta, plsRcox, plsRglm.


See at CRAN