# forecast.HoltWinters

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Percentile

##### Forecasting using Holt-Winters objects

Returns forecasts and other information for univariate Holt-Winters time series models.

Keywords
ts
##### Usage
## S3 method for class 'HoltWinters':
forecast(object, h=ifelse(frequency(object$x)>1,2*frequency(object$x),10),
level=c(80,95),fan=FALSE,...)
##### Arguments
object
An object of class "HoltWinters". Usually the result of a call to HoltWinters.
h
Number of periods for forecasting
level
Confidence level for prediction intervals.
fan
If TRUE, level is set to seq(50,99,by=1). This is suitable for fan plots.
...
Other arguments.
##### Details

This function calls predict.HoltWinters and constructs an object of class "forecast" from the results. It is included for completeness, but the ets is recommended for use instead of HoltWinters.

##### Value

• An object of class "forecast". The function summary is used to obtain and print a summary of the results, while the function plot produces a plot of the forecasts and prediction intervals. The generic accessor functions fitted.values and residuals extract useful features of the value returned by forecast.HoltWinters. An object of class "forecast" is a list containing at least the following elements:
• modelA list containing information about the fitted model
• methodThe name of the forecasting method as a character string
• meanPoint forecasts as a time series
• lowerLower limits for prediction intervals
• upperUpper limits for prediction intervals
• levelThe confidence values associated with the prediction intervals
• xThe original time series (either object itself or the time series used to create the model stored as object).
• residualsResiduals from the fitted model. That is x minus fitted values.
• fittedFitted values (one-step forecasts)

predict.HoltWinters, HoltWinters.
fit <- HoltWinters(WWWusage,gamma=FALSE)
plot(forecast(fit))