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Forecast identified model output

- example
`yf = forecast(___,opts)`

forecasts
the output of an identified time series model `yf`

= forecast(`sys`

,`PastData`

,`K`

)`sys`

, `K`

steps
into the future using past measured data, `PastData`

.

`forecast`

performs prediction into the future,
in a time range beyond the last instant of measured data. In contrast,
the `predict`

command predicts
the response of an identified model over the time span of measured
data. Use `predict`

to determine if the predicted
result matches the observed response of an estimated model. If `sys`

is
a good prediction model, consider using it with `forecast`

.

`forecast(`

plots
the forecasted output. Use with any of the previous input argument
combinations.`sys`

,`PastData`

,`K`

,___)

To change display options, right-click the plot to access the
context menu. For example, to view the estimated standard deviation
of the forecasted output, select **Confidence Region** from
the context menu. For more details about the menu, see Tips.

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