pprfuns: Ridge Functions for Projection Pursuit Regression

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

Ridge Functions for Projection Pursuit Regression

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 June 8, 2025, 10:10 a.m.