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.
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curl https://depscope.dev/api/check/conda/r-plsdofFirst published · 2021-03-14 17:22:20.597000+00:00
Last updated · 2026-03-25 09:16:25.266000+00:00