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
______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
