The problem is that you have NaNs in every single row of your X matrix.
As the documentation states:
"mnrfit treats NaNs in X and Y as missing data, and removes the corresponding observations."
Every row in your X matrix is an observation on P predictor variables.
Since you have at least one NaN for every observation, all the observations are removed.