CART 7.0, an integrel part of Salford Systems Predictive Modeler SPM 7.0, offers a new feature to essentially clone a tree or subtree structure and impose it on any target variable you choose. This means, for example, that you can grow a CART tree on dependent variable Y1, optionally prune the tree  judgmentally, and then extract the entire sructure of the tree and force it onto a new target variable Y2. The second tree will exhibit the identical structure to the first, but it will be “about” Y2 rather than Y1.

Of course, CART users have always had the option of growing a tree on target variable Y1 to create a segmentation of data.  Predictions for any variable at all can then be made segment by segment by simply noting the mean values of other variables, such as, for example, Y2, and these could be taken as CART predictions for the other variables. So what are the advantages of the new tree cloning feature?