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r-plsdof

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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.

Installation

To install this package, run one of the following:

Conda
$conda install r_test::r-plsdof

Usage Tracking

0.2_9
1 / 8 versions selected
Downloads (Last 6 months): 0

About

Summary

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.

Last Updated

Oct 15, 2019 at 16:33

License

GPL-2

Total Downloads

1

Supported Platforms

noarch