Predictions from a gls Object
Usage
predict(object, newdata, na.action)
Arguments
object
|
an object inheriting from class gls , representing
a generalized least squares fitted linear model.
|
newdata
|
an optional data frame to be used for obtaining the
predictions. All variables used in the linear model must be present
in the data frame. If missing, the fitted values are returned.
|
na.action
|
a function that indicates what should happen when
newdata contains NA s. The default action
(na.fail ) causes the function to print an error message and
terminate if there are any incomplete observations.
|
Description
The predictions for the linear model represented by object
are
obtained at the covariate values defined in newdata
.Value
a vector with the predicted values.Author(s)
Jose Pinheiro and Douglas BatesSee Also
gls
, fitted.gls
Examples
library(lme)
data(Ovary)
fm1 <- gls(follicles ~ sin(2*pi*Time) + cos(2*pi*Time), Ovary,
correlation = corAR1(form = ~ 1 | Mare))
newOvary <- data.frame(Time = c(-0.75, -0.5, 0, 0.5, 0.75))
predict(fm1, newOvary)