plsRbeta: Partial Least Squares Regression for Beta Regression Models. Provides Partial least squares Regression for (weighted) beta regression models and 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 2 articles )
Showing results 1 to 2 of 2.
- Bertrand, Frédéric; Meyer, Nicolas; Beau-Faller, Michèle; El Bayed, Karim; Namer, Izzie-Jacques; Maumy-Bertrand, Myriam: PLS beta regression (2013)
- Cano, Emilio L.; Moguerza, Javier M.; Redchuk, Andrés: Six Sigma with R. Statistical engineering for process improvement. (2012)