Dimension Reduction Regression Functions

Description

These functions require a dimension reduction regression object as input to produce output of various types.

Usage

dr.permutation.test(object, npermute=50,numdir=object$numdir,permute.weights=TRUE)

Arguments

object a dimension reduction regression object created by dr
npermute number of permutations to compute, default is 50
numdir maximum permitted value of the dimension, with the default from the object
permute.weights If TRUE, permute weights as well as data in the permutation test. If FALSE, do not permute the weights.

Value

Returns an object of type 'dr.permutation.test' that can be printed or summarized to give the summary of the test.

Author(s)

Sanford Weisberg, sandy@stat.umn.edu

References

See www.stat.umn.edu/arc/addons.html, and then select the article on dimension reduction regression or inverse regression.

See Also

dr

Examples

data(ais)
attach(ais)  # the Australian athletes data
#fit dimension reduction regression using sir
m1 <- dr(LBM~Wt+Ht+RCC+WCC, method="sir", nslices = 8)
summary(m1)
dr.permutation.test(m1,npermute=100)
plot(m1)
dr.coplot(m1)

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