question archive You run the model with all ten predictors, some of them categorical, and R tells you that the algorithm has not converged
You run the model with all ten predictors, some of them categorical, and R tells you that the algorithm has not converged
Subject:StatisticsPrice: Bought3
You run the model with all ten predictors, some of them categorical, and R tells you that the algorithm has not converged.
What does this mean and what should you do?
Please select all true options.
R is trying to be helpful with its warnings, but this time I can ignore it
A potential cause is a categorical variable where a sparse category is the reference one
A potential cause is that one of the linear predictors has 5% missing values
The most likely cause is that there are too many predictors in the model.
The most likely cause is missing values in a linear predictor
