# 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 class '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.

##### See Also

##### Examples

`library(stats)`

```
require(graphics)
m <- HoltWinters(co2)
p <- predict(m, 50, prediction.interval = TRUE)
plot(m, p)
```

*Documentation reproduced from package stats, version 3.3, License: Part of R 3.3*

### Community examples

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