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Many nonparametric regression procedures operate by generating a basis expansion of derived variables, and then performing a linear regression in the enlarged space. The MARS procedure (Chapter 9) is exactly of this form. (p442)
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Some models are naturally resistant to non-informative predictors. Tree- and rule-based models, MARS and the lasso