plsRglm: Partial Least Squares Regression for Generalized Linear Models. 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.
References in zbMATH (referenced in 1 article )
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