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everyone!

I use hierarchical ordered logistic regression to add predictors in a model one by one. Then I want to present the model via tab_model() function.

The thing is that I have lots of intercepts in my model because my DV is an index of 4 categorical ordinal variables.

I tried to use show.intercept = F as an argument in tab_model(), where I put all the nested models. However, it didn't help, and the intercepts were not removed in viewer.

Any suggestions?

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    Welcome to StackOverflow. Please provide a [minimal reproducible example](https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example) for us to understand your issue/question. – Adam Quek May 31 '22 at 04:38

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