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 crossvalidation. 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, crossvalidation procedures for Ridge Regression and Principal Components Regression are available.
Package details 


Author  Nicole Kraemer, Mikio L. Braun 
Date of publication  20140904 15:41:41 
Maintainer  Nicole Kraemer <kra[email protected]> 
License  GPL (>= 2) 
Version  0.27 
Package repository  View on CRAN 
Installation 
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