On Classification and Regression Trees for Multiple Responses

The tree method can be extended to multivariate responses, such as repeated measures and longitudinal data, by modifying the split function so as to accommodate multiple responses. Recently, some decision trees for multiple responses have been constructed by other researchers. However, their methods have limitations on the type of response, that is, they allow only continuous or only binary responses. Also, there is no tree method to analyze polytomous and ordinal responses.In this paper , we will modify the t ree for the univari ate response procedure and suggest a new t ree-based method that can an alyze any ty pe of multiple response by using Generalized Estimating Equations (GEE) techniques.