Projection Pursuit Regression Example. On one hand this. Documentation How it works.
Projection Pursuit Regression Sage Research Methods from methods.sagepub.com
Levels 2 and 3 refit all the terms and are equivalent for one response. Fit a projection pursuit regression model. PPR starts with a more general assumption for the regression surface to be found.
The projections of the additive model 1024 are constructed in an iterative manner by looping over s and s.
Another widely used algorithm AdaBoost also fits an additive model in a base learner. Projection pursuit However it may be that most non-linearities encountered by statisticians in practice are only moderately deviant from a linear structure. 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. Projection pursuit and structure removal was devel-oped into a general projection pursuit paradigm for multivariate analysis by Friedman and Stuetzle 9.
