Dear R community.

I´m working with a generalized linear model which the response variable is
a categorical one and the predictive variables are weather conditions.  I
have 250 different places where I need to fit the model. In some of these
places I have strong correlations between some of the variables so I need
to deal with this problem.

I found a work similar than mine where they use tha Nagelkerke R2
coefficient of determination to deal with multicollinearity. Has anyone
ever used this coefficient of determination in R? I need to know how to use
it and interpreted in my work.

If anyone can help me I´d really appreciate it.

Greetings

Lucas.

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