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I want to perform a Poisson regression to explain Abundance (Counts of individuals) through a number of continuous and categorical explanatory variables. Some of the categorical variables have more than two levels so I will be performing some dummy coding as well.

The question I have is can generalised linear models can cope with multiple types of variables?

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  • $\begingroup$ Yes, I think any linear model can cope with multiple types of variables. $\endgroup$
    – Deep North
    Jul 31, 2015 at 7:28
  • $\begingroup$ Yes, just as with regression. $\endgroup$
    – Glen_b
    Jul 31, 2015 at 10:31

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Yes, they can. The linear component of a GLM can contain whatever a standard linear model can, the difference of course being the distribution of the response and the need for a link function. So go ahead and fit your model but be mindful of the interpretation.

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