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

# S3 method for HoltWinters
forecast(object, h = ifelse(frequency(object$x) > 1, 2 *
frequency(object$x), 10), level = c(80, 95), fan = FALSE, lambda = NULL,
biasadj = 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(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. |

## 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.

fittedFitted values (one-step forecasts)

## 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`

.

## See also

`predict.HoltWinters`

,
`HoltWinters`

.

## Examples