plsdof: Degrees of Freedom and Statistical Inference for Partial Least Squares Regression
Version 0.2-7

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.

Package details

AuthorNicole Kraemer, Mikio L. Braun
Date of publication2014-09-04 15:41:41
MaintainerNicole Kraemer <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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plsdof documentation built on May 30, 2017, 3:41 a.m.