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- Q5155463 subject Q8646998.
- Q5155463 abstract "In statistics, projection pursuit regression (PPR) is a statistical model developed by Jerome H. Friedman and Werner Stuetzle 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.".
- Q5155463 wikiPageExternalLink ElemStatLearn.
- Q5155463 wikiPageWikiLink Q1071612.
- Q5155463 wikiPageWikiLink Q12483.
- Q5155463 wikiPageWikiLink Q1430460.
- Q5155463 wikiPageWikiLink Q1496373.
- Q5155463 wikiPageWikiLink Q1501882.
- Q5155463 wikiPageWikiLink Q15429378.
- Q5155463 wikiPageWikiLink Q192776.
- Q5155463 wikiPageWikiLink Q27628.
- Q5155463 wikiPageWikiLink Q2912993.
- Q5155463 wikiPageWikiLink Q320723.
- Q5155463 wikiPageWikiLink Q3284399.
- Q5155463 wikiPageWikiLink Q3318054.
- Q5155463 wikiPageWikiLink Q382970.
- Q5155463 wikiPageWikiLink Q4681344.
- Q5155463 wikiPageWikiLink Q5227315.
- Q5155463 wikiPageWikiLink Q5264358.
- Q5155463 wikiPageWikiLink Q541014.
- Q5155463 wikiPageWikiLink Q5699317.
- Q5155463 wikiPageWikiLink Q8646998.
- Q5155463 comment "In statistics, projection pursuit regression (PPR) is a statistical model developed by Jerome H. Friedman and Werner Stuetzle 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.".
- Q5155463 label "Projection pursuit regression".