I was playing around with the nnetar function in the forecast package,
trying to generate a 3-year forecast (36 months), the R fit result is shown
below:
#Neural Nets Fitting and Forecast
>
> fit<-nnetar(condataset$ConPcums97)
> fit
Series: condataset$ConPcums97
Model: NNAR(13)
Call: nnetar(x = condataset$ConPcums97)
Average of 20 networks, each of which is
a 13-7-1 network with 106 weights
options were - linear output units
sigma^2 estimated as 5.34e+12
Now, R is sending me the following error message:
x<-forecast(fit, h=36)
Error in predict.nnet(X[[1L]], ...) : missing values in 'x'
>
> forecast(fit)
Error in predict.nnet(X[[1L]], ...) : missing values in 'x'
> x<-forecast(nnetar(condataset$ConPcums97), h=36)
Error in predict.nnet(X[[1L]], ...) : missing values in 'x'
I am attaching the same data I used to try the nnetar function. Can you
give me some guidance or tell me what could be done to generate the
forecast with this function?
Best regards,
Paul
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