Contains linear and nonlinear regression methods based on Partial Least Squares and Penalization Techniques. Model parameters are selected via cross-validation, and confidence intervals ans tests for the regression coefficients can be conducted via jackknifing.
|Author||Nicole Kraemer <email@example.com> Anne-Laure Boulesteix <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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