# predict.HoltWinters

##### Prediction Function for Fitted Holt-Winters Models

Computes predictions and prediction intervals for models fitted by the Holt-Winters method.

- Keywords
- ts

##### Usage

```
# S3 method for HoltWinters
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**, 324--342.
10.1287/mnsc.6.3.324.

##### See Also

##### Examples

`library(stats)`

```
# NOT RUN {
require(graphics)
m <- HoltWinters(co2)
p <- predict(m, 50, prediction.interval = TRUE)
plot(m, p)
# }
```

*Documentation reproduced from package stats, version 3.6.1, License: Part of R 3.6.1*