R: Extract gls Residuals

residuals.gls {nlme}

R Documentation

Extract gls Residuals

The residuals for the linear model represented by object are extracted.

## S3 method for class 'gls'
residuals(object, type, ...)

`object`	an object inheriting from class `"gls"`, representing a generalized least squares fitted linear model, or from class `gnls`, representing a generalized nonlinear least squares fitted linear model.
`type`	an optional character string specifying the type of residuals to be used. If `"response"`, the "raw" residuals (observed - fitted) are used; else, if `"pearson"`, the standardized residuals (raw residuals divided by the corresponding standard errors) are used; else, if `"normalized"`, the normalized residuals (standardized residuals pre-multiplied by the inverse square-root factor of the estimated error correlation matrix) are used. Partial matching of arguments is used, so only the first character needs to be provided. Defaults to `"response"`.
`...`	some methods for this generic function require additional arguments. None are used in this method.

a vector with the residuals for the linear model represented by object.

José Pinheiro and Douglas Bates bates@stat.wisc.edu

fm1 <- gls(follicles ~ sin(2*pi*Time) + cos(2*pi*Time), Ovary,
           correlation = corAR1(form = ~ 1 | Mare))
residuals(fm1)

[Package nlme version 3.1-166 Index]