predict.HoltWinters
Prediction Function for Fitted HoltWinters Models
Computes predictions and prediction intervals for models fitted by the HoltWinters method.
 Keywords
 ts
Usage
"predict"(object, n.ahead = 1, prediction.interval = FALSE, level = 0.95, ...)
Arguments
 object
 An object of class
HoltWinters
.  n.ahead
 Number of future periods to predict.
 prediction.interval
 logical. If
TRUE
, the lower and upper bounds of the corresponding prediction intervals are computed.  level
 Confidence level for the prediction interval.
 ...
 arguments passed to or from other methods.
Value

A time series of the predicted values. If prediction intervals are
requested, a multiple time series is returned with columns
fit
,
lwr
and upr
for the predicted values and the lower and
upper bounds respectively.
References
C. C. Holt (1957) Forecasting trends and seasonals by exponentially weighted moving averages, ONR Research Memorandum, Carnegie Institute of Technology 52.
P. R. Winters (1960) Forecasting sales by exponentially weighted moving averages, Management Science 6, 324342.
See Also
Examples
library(stats)
require(graphics)
m < HoltWinters(co2)
p < predict(m, 50, prediction.interval = TRUE)
plot(m, p)
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