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A generalization of linear regression allowing for nonlinear relationships via a "link function" and for the variance of the response to depend on the predicted value. (Not to be confused with "general linear model" which extends the ordinary linear model to general covariance structure and multivariate response.)
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R summary(glm) - Coefficients: (1 not defined because of singularities)
I use the glm fonction for different logisitc regression with binomial data. When I run the summary(glm) I got the following output :
My problem is that the last line is noted "NA" for all my glm. F …