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Provides (weighted) Partial least squares Regression for generalized linear models and repeated k-fold cross-validation of such models using various criteria. It allows for missing data in the explanatory variables. Bootstrap confidence intervals constructions are also available.

copied from cf-post-staging / r-plsrglm
Type Size Name Uploaded Downloads Labels
conda 2.0 MB | noarch/r-plsrglm-1.5.1-r43hc72bb7e_2.conda  1 year and 5 months ago 1271 main
conda 2.1 MB | noarch/r-plsrglm-1.5.1-r44hc72bb7e_2.conda  1 year and 5 months ago 1259 main
conda 2.0 MB | noarch/r-plsrglm-1.5.1-r42hc72bb7e_1.conda  2 years and 6 months ago 1672 main
conda 2.0 MB | noarch/r-plsrglm-1.5.1-r43hc72bb7e_1.conda  2 years and 6 months ago 1710 main
conda 2.0 MB | noarch/r-plsrglm-1.5.1-r41hc72bb7e_0.conda  2 years and 10 months ago 1918 main
conda 2.0 MB | noarch/r-plsrglm-1.5.1-r42hc72bb7e_0.conda  2 years and 10 months ago 1900 main

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