I am looking for a way to correct for autocorrelation using for my GLM
models. I can identify the degree of autocorrelation, using PACF, but cannot
figure out a way to specify which variables are the ones that are
autocorrelated, and how to correct for this. Thank you for any help!
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I am trying to use regression to determine the interaction between a couple
of variables while correcting for autocorrelation. Thus far, I have created
the code:
model <- gls(yvar~xvar1*xvar2, correlation = corARMA (p=2), method = "ML",
data = data)
I'm having a difficult time understanding the di
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