| residuals.gls {nlme} | R Documentation |
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 "pearson". |
... |
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.
Jose Pinheiro Jose.Pinheiro@pharma.novartis.com and Douglas Bates bates@stat.wisc.edu
data(Ovary)
fm1 <- gls(follicles ~ sin(2*pi*Time) + cos(2*pi*Time), Ovary,
correlation = corAR1(form = ~ 1 | Mare))
residuals(fm1)