Predictions from a gls Object

DESCRIPTION:

The predictions for the linear model represented by object are obtained at the covariate values defined in newdata.

USAGE:

predict(object, newdata, na.action) 

REQUIRED ARGUMENTS:

object
an object inheriting from class gls, representing a generalized least squares fitted linear model.

OPTIONAL ARGUMENTS:

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 NAs. The default action ( na.fail) causes the function to print an error message and terminate if there are any incomplete observations.

VALUE:

a vector with the predicted values.

SEE ALSO:

,

EXAMPLES:

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)