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 protected]> Anne-Laure Boulesteix <[email protected]>|
|Date of publication||2018-07-20 14:38:39 UTC|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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