run code for a linear regrssion. X has 5 predictors, Y is one response vector with ordinal values(1 to 5)
b = glmfit(X,Y);
Warning: X is ill conditioned, or the model is overparameterized, and some coefficients are not identifiable. You should use caution in making predictions.
similarly when running b = mnrfit(X, Y);
Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 4.607712e-20.
Does anyone know the reason, how to fix the issue?