I am getting an error message when I use the mnrfit function on a matrix X and Y like this:
1 NaN 2 NaN 3 NaN NaN NaN 4 6 NaN NaN 5 NaN NaN
-1 1 -1 1 -1
b=mnrfit(X,Y+2); Error using mnrfit (line 164) X and Y must contain at least one valid observation.
I cannot understand why I'm running into such an error...please advise...
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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.