Hi Matteo,
just use forecast.Arima() with h=2 to get forecasts up to 2 steps ahead.
R will automatically use forecast.Arima() if you call forecast() with an
Arima object.
library(forecast)
model <- auto.arima(AirPassengers)
forecast(model,h=2)
HTH,
Stephan
Matteo Bertini schrieb:> Hello everyone,
>
> I'm doing some benchmark comparing Arima [1] and SVR on time series
data.
>
> I'm using an out-of-sample one-step-ahead prediction from Arima using
> the "fitted" method [2].
>
> Do someone know how to have a two-steps-ahead forecast timeseries from
Arima?
>
>
> Thanks,
> Matteo Bertini
>
> [1] http://robjhyndman.com/software/forecast
> [2] AirPassengers example on page 5
>
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