Hello, I am modelling the diet of Nile perch through time. I have 3 diet classes as my response variables; fish 1, fish 2, and invertebrates.
The response variables are correlated, declines in invert consumption ~ increase in fish consumption. Any advice on how to handle this would be appreciated. I would like to use GAMs as my time series shows fluctuations that could only be fit by high order polynomials if I were to use a linear model, but open to suggestions. Thank you for your time. P.s. I will be comparing the fit of the time series GAM with a model based on other predictors, with a training and validation split for my data. --- Tristan Kosciuch Stewart Biology Building, McGill University 1205 Dr Penfield Ave, Montreal QC H3A 1B1 [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.