dr (version 1.0.2)

dr.x: Inverse regression term matrix

Description

dr.x returns the matrix of data constructed from the formula for a dimension reduction regression. dr.y returns the response.

Usage

dr.x(object)
dr.y(object)
dr.z(x,weights=NULL,center=TRUE,rotate=TRUE,decomp="svd")

Arguments

object

An dimension reduction regression object

x

a matrix to be centered and scaled OR a dimension reduction object from which the model matrix will be extracted

weights

a vector of weights, or NULL if unweighted

center

if TRUE, center the output

rotate

if TRUE, multiply by the inverse square root of the sample covariance matrix.

decomp

Decomposition to be used in computing the rotation; the default is "svd".

Value

• dr.x returns an $n \times p$ matrix of terms, excluding the intercept, constructed from the dimension reduction regression object. dr.y returns the response. dr.z returns a possibly centered and scaled version of x.

See Also

dr

Examples

data(ais)
attach(ais)
m1 <- dr(LBM~Ht+Wt+RCC+WCC)
dr.x(m1)
dr.y(m1)