Extract gnls Residuals

Usage

residuals(object, type)

Arguments

object an object inheriting from class gnls, representing a generalized 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 "pearson".

Description

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

Value

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

Author(s)

Jose Pinheiro and Douglas Bates

See Also

gnls, fitted.gnls

Examples

library(lme)
data(Soybean)

fm1 <- gnls(weight ~ SSlogis(Time, Asym, xmid, scal), Soybean,
            weights = varPower())
fitted(fm1)


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