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- gam. lo function - RDocumentation
lo returns a numeric matrix The simplest case is when there is a single argument to lo and degree=1; a one-column matrix is returned, consisting of a normalized version of the vector If degree=2 in this case, a two-column matrix is returned, consisting of a degree-2 polynomial basis
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- R gam::lo -- EndMemo
When gam lo is evaluated with an xeval argument, it returns a matrix of predictions Details: A smoother in gam separates out the parametric part of the fit from the non-parametric part For local regression, the parametric part of the fit is specified by the particular polynomial being fit locally
- gam package - RDocumentation
Functions for fitting and working with generalized additive models, as described in chapter 7 of "Statistical Models in S" (Chambers and Hastie (eds), 1991), and "Generalized Additive Models" (Hastie and Tibshirani, 1990)
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