Projection Pursuit Regression Example. The purpose of the projection is to reveal underlying relationships. Levels 2 and 3 refit all the terms and are equivalent for one response.
Another widely used algorithm AdaBoost also fits an additive model in a base learner. Projection Pursuit Regression PPR is a non parametric regression algorithm used exactly to overcome this limitation. Fit a projection pursuit regression model.
Y x1x2 E E - N 004 vs.
Level 3 is more careful to re-balance the contributions from each regressor at each step and so is a little less likely to converge to a saddle point of the. Y is plotted on the vertical axis X2 on the horizontal axis. Another widely used algorithm AdaBoost also fits an additive model in a base learner. Fit a projection pursuit regression model.
