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### How is GVIF calculated for categorical variables?Also is there any other way to detect multi co-linearity of categorical variables?

I was tring to find a way to remove the redundant categorical variables as features. I believe GVIF would give high value for the redundant/multicollinear categorical variables. Please let me know if ...
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### GVIF output in R

After fitting a logistic regression model m I've run vif() on it and been given the following output ...
338 views

### Multicollinearity in the data with categorical variables

I want to calculate the vif to check for multicollinearity in my data set. I read that a values of >10 tells me that I could have a problem with multicollinearity in my data set. I run an ols ...
87 views

### How to deal with high VIF and multicollinearity between numerical and categorical values?

I'm performing a multiple linear regression about the price of alcohol. Two of the predictors are the categorical variable 'type of alcohol', the levels being 'beer', 'wine', 'spirits' and the ...
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### How can we calculate the variance inflation factor for a categorical predictor variable when examining multicollinearity in a linear regression model?

For example, if we have the linear regression model: $$E(y) = \beta_0 + \beta_1 x_1 + \beta_2 x_2 + \beta_3 x_3$$ where \$ x_1 =\begin{cases} 1 & \mbox{if level 2} \\ 0 & \mbox{otherwise} \...