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

noarch/r-plsdof-0.4_0-r44hc72bb7e_1.conda

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noarch/r-plsdof-0.3_2-r44hc72bb7e_2.conda

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noarch/r-plsdof-0.3_2-r43hc72bb7e_1.conda

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