X.residuals: Residuals from the regression of each column of a data.frame...

Description Usage Arguments Value Author(s) References See Also Examples

Description

Calculate the residuals from the regression of each column of a data.frame against all the other columns.

Usage

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X.residuals(x, ...)

## Default S3 method:
X.residuals(x, y.name, na.action = na.exclude, ...) ## x is a data.frame

## S3 method for class 'formula'
X.residuals(x, data, na.action = na.exclude, ...)   ## x is a formula

## S3 method for class 'lm'
X.residuals(x, na.action = na.exclude, ...)  ## x is a "lm" object computed with x=TRUE

Arguments

x

data.frame, or formula, or lm object computed with x=TRUE.

na.action

See na.action.

...

additional arguments.

y.name

Name of Y-variable to be excluded from the computations.

data

A data frame in which the variables specified in the formula will be found. If missing, the variables are searched for in the standard way.

Value

Data.frame of residuals, one column from each regression.

Author(s)

Richard M. Heiberger <rmh@temple.edu>

References

Heiberger, Richard M. and Holland, Burt (2004b). Statistical Analysis and Data Display: An Intermediate Course with Examples in S-Plus, R, and SAS. Springer Texts in Statistics. Springer. ISBN 0-387-40270-5.

See Also

lm, vif, case.lm.

Examples

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data(usair)
usair$lnSO2 <- log(usair$SO2)
usair$lnmfg <- log(usair$mfgfirms)
usair$lnpopn <- log(usair$popn)

usair.lm <- lm(lnSO2 ~ temp + lnmfg + wind + precip, data=usair)

X.residuals(usair.lm)

X.residuals(lnSO2 ~ temp + lnmfg + wind + precip, data=usair)

X.residuals(usair)

X.residuals(usair, y.name="lnSO2")


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