I am doing multinomial logistic regression.
Dependent variable is categorical with 6 categories. 6 Independent variables are measured on an interval scale (included as covariates in SPSS)
Now I am watching the LR test. None of the independent variables have a $\chi^2$ value and no degrees of freedom are shown, so significance is not specified. (except for the constant, which is significant and has 5 df's). One variable is redundant in the parameter estimates.
When I omit the redundant IV in the model, there are $\chi^2$values, df's and significance values for the independent variables. Was the first model over-parametrised or something?
what is the explanation for this situation? And is it valid to omit one independent variable in the model?