I have run a simple linear regressions of insect counts against weather variables, e.g. total monthly rainfall. I have previously never known of autocorrelation but a reviewr of my manuscript has required me to test for autocorrelation and run models which account for its occurence.
I found suggestions by Macro on "How to test the autocorrelation of the residuals?" very easy to follow and helpful for a first timer like me to test for autocorrelation. I have found autocorrelation occuring in some of my linear regression models, but I haven't got such a simple approach to correcting for the autocorrelation. Most answers go into complex equations (with packages like "spdep", "sphet", "gmm", etc.) rather than straight forward R commands to run corrective models.
I would greatly appreciate someone who can help me out to make meaning out of my data through a simple approach.