Hi, I'm using R and I've fitted a seasonal Arima model to a time series. I wish to compute a prediction for the next 12 values of the time series with 95% confidence interval. Can someone advise me what command to use? Also could someone point me to where I might find out the answers to similar questions to this one rather than posting all the questions here?

I'm thinking of using something like

> predict(arima(whatever,order=c(0,1,2),seasonal=list(order=c(0,1,2))),n.ahead=12)

Clearly this is missing the prediction interval part, but I have no idea how to put that in.

I'm thinking of using something like

> predict(arima(whatever,order=c(0,1,2),seasonal=list(order=c(0,1,2))),n.ahead=12)

Clearly this is missing the prediction interval part, but I have no idea how to put that in.

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