predict
is a generic function for predictions from the results of
various model fitting functions. The function invokes particular
methods which depend on the class
of
the first argument.
predict (object, ...)
predict
depends on the
class of its argument. See the documentation of the
particular methods for details of what is produced by that method.
newdata
specifying the first place to look for
explanatory variables to be used for prediction. Some considerable
attempts are made to match up the columns in newdata
to those
used for fitting, for example that they are of comparable types and
that any factors have the same level set in the same order (or can be
transformed to be so). Time series prediction methods in package stats have an argument
n.ahead
specifying how many time steps ahead to predict.
Many methods have a logical argument se.fit
saying if standard
errors are to returned.
predict.glm
,
predict.lm
,
predict.loess
,
predict.nls
,
predict.poly
,
predict.princomp
,
predict.smooth.spline
.SafePrediction for prediction from (univariable) polynomial and spline fits.
For time-series prediction,
predict.ar
,
predict.Arima
,
predict.arima0
,
predict.HoltWinters
,
predict.StructTS
.
require(utils) ## All the "predict" methods found ## NB most of the methods in the standard packages are hidden. for(fn in methods("predict")) try({ f <- eval(substitute(getAnywhere(fn)$objs[[1]], list(fn = fn))) cat(fn, ":\n\t", deparse(args(f)), "\n") }, silent = TRUE)