The PLS procedure fits models using any one of a number of linear predictive methods, including partial least squares (PLS). Ordinary least squares regression has the single goal of minimizing sample ...

Regulators need a method that is versatile, is easy to use and can handle complex path models with latent (not directly observable) variables. In a first application of partial least squares ...

All of the predictive methods implemented in PROC PLS work essentially by finding linear combinations of the predictors (factors) to use to predict the responses linearly. The methods differ only in ...