Principal Components Regression Like the SIMPLS method, principal components regression (PCR) defines all the scores in terms of the original (centered and scaled) predictors X. However, unlike both ...

The RSREG procedure fits a quadratic response-surface model, which is useful in searching for factor values that optimize a response. The following features in PROC RSREG make it preferable to other ...

Additive models and tree-based regression models are two main classes of statistical models used to predict the scores on a continuous response variable. It is known that additive models become very ...

This review provides a detailed examination of experimental mouse models used to study liver fibrosis regression, both in vivo and ex vivo, highlighting their relevance, advantages, and limitations.