\HeaderA{predict.HoltWinters}{prediction function for fitted Holt-Winters models}{predict.HoltWinters}
\keyword{ts}{predict.HoltWinters}
\begin{Description}\relax
Computes predictions and prediction intervals for models fitted by
the Holt-Winters method.
\end{Description}
\begin{Usage}
\begin{verbatim}
## S3 method for class 'HoltWinters':
predict(object, n.ahead=1, prediction.interval = FALSE,
       level = 0.95, ...)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{object}] An object of class \code{HoltWinters}.
\item[\code{n.ahead}] Number of future periods to predict.
\item[\code{prediction.interval}] logical. If \code{TRUE}, the lower and
upper bounds of the corresponding prediction intervals are computed.
\item[\code{level}] Confidence level for the prediction interval.
\item[\code{...}] arguments passed to or from other methods.
\end{ldescription}
\end{Arguments}
\begin{Value}
A time series of the predicted values. If prediction intervals are
requested, a multiple time series is returned with columns \code{fit},
\code{lwr} and \code{upr} for the predicted values and the lower and
upper bounds respectively.
\end{Value}
\begin{Author}\relax
David Meyer \email{David.Meyer@wu-wien.ac.at}
\end{Author}
\begin{References}\relax
C. C. Holt (1957)
Forecasting seasonals and trends by exponentially weighted
moving averages,
ONR Research Memorandum, Carnigie Institute 52.

P. R. Winters (1960)
Forecasting sales by exponentially weighted moving averages,
\emph{Management Science} \bold{6}, 324--342.
\end{References}
\begin{SeeAlso}\relax
\code{\LinkA{HoltWinters}{HoltWinters}}
\end{SeeAlso}
\begin{Examples}
\begin{ExampleCode}
m <- HoltWinters(co2)
p <- predict(m, 50, prediction.interval = TRUE)
plot(m, p)
\end{ExampleCode}
\end{Examples}

