This is kind of a general question about methodology more than anything. But I was looking for fome advice. I have fit a time-series model and feel pretty confident that I have taken this model (exponential smoothing) as far as it will go. In other words looking at the data and the fitted curves I think it is as close as I can get. But when I plot the residuals and form a qqplot it seems that the residuals are not "normal". From the QQ-plot there is some factor that is influencing the series that cannot be attributed to "noramal random" fluxuation. I can run 'tsdiag' to determine basically whether the residuals are normall and random, but what if they are not? What would be the next set of 'R' commands that I might run to find this influence?
Any suggestions? Kevin ______________________________________________ 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.
