In statistics, projection pursuit regression (PPR) is a statistical model developed by Jerome H. Friedman and which is an extension of additive models. This model adapts the additive models in that it first projects the data matrix of explanatory variables in the optimal direction before applying smoothing functions to these explanatory variables.