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conda-forge/r-plsdof

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.

Copied fromcf-post-staging / r-plsdof

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::r-plsdof

Usage Tracking

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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

Mar 25, 2026 at 09:16

License

GPL-2.0-or-later

Supported Platforms

noarch

Unsupported Platforms

linux-64 Last supported version: 0.2_7.1
win-64 Last supported version: 0.2_7.1
macOS-64 Last supported version: 0.2_7.1

Home

https://github.com/fbertran/plsdof