# forecast.HoltWinters

From forecast v3.07
by Rob Hyndman

##### 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,lambda=NULL,...)
```

##### 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.
- lambda
- Box-Cox transformation parameter. Ignored if NULL. Otherwise, forecasts back-transformed via an inverse Box-Cox transformation.
- ...
- 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: model A list containing information about the fitted model method The name of the forecasting method as a character string mean Point forecasts as a time series lower Lower limits for prediction intervals upper Upper limits for prediction intervals level The confidence values associated with the prediction intervals x The original time series (either `object`

itself or the time series used to create the model stored as`object`

).residuals Residuals from the fitted model. That is x minus fitted values. fitted Fitted values (one-step forecasts)

##### See Also

##### Examples

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

*Documentation reproduced from package forecast, version 3.07, License: GPL (>= 2)*

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