There are a lot of Generalized Linear Model questions on here, but I couldn't find one that explicitly addressed this point.
The Wikipedia page starts out by saying:
[T]he generalized linear model (GLM) is a flexible generalization of ordinary linear regression that allows for response variables that have error distribution models other than a normal distribution.
However, the subsequent parts of the Wikipedia page drop the talk of non-normal errors and instead talk about non-normal responses, e.g.
The general linear model may be viewed as a special case of the generalized linear model with identity link and responses normally distributed.
I get that sometimes a non-normal response variable means that the errors must also be non-normal, but understand from this post that residuals can be normally distributed while the outcome variable is not. So why does Wikipedia bother talking about non-normal response variables?
