PCovR

R package PCovR: Principal Covariates Regression. Analyzing regression data with many and/or highly collinear predictor variables, by simultaneously reducing the predictor variables to a limited number of components and regressing the criterion variables on these components. Several rotation options are provided in this package, as well as model selection options.

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References in zbMATH (referenced in 1 article , 1 standard article )

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  1. Marlies Vervloet; Henk Kiers; Wim Van den Noortgate; Eva Ceulemans: PCovR: An R Package for Principal Covariates Regression (2015) not zbMATH