HI!
Would anybody suggest what function/package/method can I use to obtain
forecasts for horizons longer than 1 period ahead?
I want to do multistep forecasts with multilayer feedforward networks. I
have tried several packages, but it turned out that the functions yield only
one-step forecasts.
To my best knowledge, *neuralne*t and *AMORE* packages don;t allow
forecasting (you need to supply new input data for the forecast period and a
function sim() from AMORE package gives you 1-step aheads). *nnet* has only
1 hidden layer, while in *RSNNS* I have tried predict.rsnns(), but having
used mlp for training I get only binary result (e.g. a vector of "1"s).
Regards,
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