Hello,
I appear to be having a problem with my degrees of freedom and parameters
in the following model, however, I do not understand why.
Model:
glm(density ~ treatment/stand + pgstems, family = quasi(link = "log", var =
"mu"), na.action = na.omit, data=chapter6, maxit = 20)
Message:
Error in glm.fitter(x = X, y = Y, w = ..: 109 parameters
but only 105 observation
Data Breakdown:
There are 2 treatments
56 stands - essentially a replicate(approximately 28 per treatment)
- 49 have 2 observations, the rest have 1
105 observations in total.
Why would this model have more parameters then observations?
Is there a different way of running the glm so multiple observations are still
nested within the appropriate stand?
All responses are appreciated.
Vern Peters
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