pprfuns: Ridge Functions for Projection Pursuit Regression

In HoRM: Supplemental Functions and Datasets for "Handbook of Regression Methods"

Description

The portion of the plot.ppr code that computes the ridge traces for projection pursuit regression.

Usage

ppr_funs(obj)

Arguments

obj	A fit of class ppr as produced by the ppr function.

Details

This is just the segment of code in plot.ppr, which calculates the ridge traces.

Value

ppr_funs returns the evaluated ridge trace values based on output from the ppr function.

References

Young, D. S. (2017), Handbook of Regression Methods, CRC Press.

See Also

ppr, plot.ppr

Examples

 
## Projection pursuit regression on the rock dataset.

data(rock)

ppr.out <- ppr(log(perm) ~ area + peri + shape,
               data = rock, nterms = 2, max.terms = 5)
obj <- ppr_funs(ppr.out)

obj

HoRM documentation built on March 11, 2021, 9:07 a.m.