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predict.gls

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

## S3 method for class 'gls'
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 NAs. The default action (na.fail) causes the function to print an error message and terminate if there are any incomplete observations.
...

some methods for this generic require additional arguments. None are used in this method.

Value

a vector with the predicted values.

Author(s)

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

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)
nlme

Linear and Nonlinear Mixed Effects Models

v3.1-152
GPL (>= 2) | file LICENCE
Authors
José Pinheiro [aut] (S version), Douglas Bates [aut] (up to 2007), Saikat DebRoy [ctb] (up to 2002), Deepayan Sarkar [ctb] (up to 2005), EISPACK authors [ctb] (src/rs.f), Siem Heisterkamp [ctb] (Author fixed sigma), Bert Van Willigen [ctb] (Programmer fixed sigma), Johannes Ranke [ctb] (varConstProp()), R-core [aut, cre]
Initial release
2021-02-03

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