Collinearity among independent variables in multiple linear regression can have severe effects on the precision of response estimation for some region of interest of independent variables.

Automated multiple regression model-building techniques often hide important aspects of data from the data analyst. Such features as nonlinearity, collinearity, outliers, and points with high leverage ...