# forecast.HoltWinters

From forecast v7.2
by Rob Hyndman

##### Forecasting using Holt-Winters objects

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

- Keywords
- ts

##### Usage

`"forecast"(object, h=ifelse(frequency(object$x)>1,2*frequency(object$x),10), level=c(80,95),fan=FALSE,lambda=NULL, biasadj=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(51,99,by=3). This is suitable for fan plots.
- lambda
- Box-Cox transformation parameter. Ignored if NULL. Otherwise, forecasts back-transformed via an inverse Box-Cox transformation.
- biasadj
- Use adjusted back-transformed mean for Box-Cox transformations. If TRUE, point forecasts and fitted values are mean forecast. Otherwise, these points can be considered the median of the forecast densities.
- ...
- 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

`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:
is a list containing at least the following elements:##### See Also

##### Examples

```
plot(forecast(fit))
```

*Documentation reproduced from package forecast, version 7.2, License: GPL (>= 2)*

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