For a linear model object, finds the sum of squares for lack of fit and the sum of squares for pure error. These are added to the standard anova table to give a test for lack of fit. If there is no pure error, then the regular anova table is returned.
pod
(Package: alr3) :
Fit partial one-dimensional, or POD models, based on a linear model
A partial one-dimensional model, or a POD model, provides a concise description of a regression model with many predictors and one grouping variable. It requires a nonlinear regression fit.
This package accompanies S. Weisberg, Applied Regression Regression, Third Edition, Wiley, 2005. Most of the functions that were previously part of alr3 have been renamed and improved, and are now part of the car package.