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.
|Author||Nicole Kraemer, Mikio L. Braun|
|Maintainer||Frederic Bertrand <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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