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The predictions for the nonlinear model represented by object are
obtained at the covariate values defined in newdata.
# S3 method for gnls
predict(object, newdata, na.action, naPattern, ...)a vector with the predicted values.
an object inheriting from class "gnls", representing
a generalized nonlinear least squares fitted model.
an optional data frame to be used for obtaining the predictions. All variables used in the nonlinear model must be present in the data frame. If missing, the fitted values are returned.
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.
an expression or formula object, specifying which returned values are to be regarded as missing.
some methods for this generic require additional arguments. None are used in this method.
José Pinheiro and Douglas Bates bates@stat.wisc.edu
gnls
fm1 <- gnls(weight ~ SSlogis(Time, Asym, xmid, scal), Soybean,
weights = varPower())
newSoybean <- data.frame(Time = c(10,30,50,80,100))
predict(fm1, newSoybean)
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