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.
Keywords for this software
References in zbMATH (referenced in 1 article , 1 standard article )
Showing result 1 of 1.
- Marlies Vervloet; Henk Kiers; Wim Van den Noortgate; Eva Ceulemans: PCovR: An R Package for Principal Covariates Regression (2015) not zbMATH