As of Version 7.0, CookD has been renamed to "CookDistances" and has become a property of LinearModelFit.
- To use CookD, you first need to load the Regression Common Functions Package. You can do this by using Needs["LinearRegression`"], which will automatically load the Regression Common Functions Package, or you can load the package directly by using Needs["RegressionCommon`"].
- CookD is a diagnostic for identifying highly influential points.
- CookD gives a list of Cook's distances for the data points.
- CookD is equivalent to HatDiagonal/(1-HatDiagonal) StandardizedResiduals2/p where p is the number of parameters in the model.