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What to do if the model coefficients are complex?

Asked by Alessio Galassi on 19 Jul 2019
Hi everyone! I am trying to develop a mupltiple regression. In particular, I got 3 categories: trochateric fracture, neck fracture and control patients. I am using teh following data:
  • training_data: 300x13 double (13 columns because I added a column of ones, as requested by the function I use)
  • classes_training: 300x1 (where the class can be 1,2 or 3)
  • test_data: 51x12
  • classes_test: 51x1
I have normalized both training_data and test_data. Now, I apply the functions:
MR = mnrfit( classes_training, training_data);
eval = mnrval(MR ,test_data);
But the following error is displayed:
"Error using mnrval (line 189) The sizes of B and X are incompatible. "
Actually the sizes are correct, because MR is 2x12 and test_data is 51x12. But, I don't know why, MR is composed by complex coefficients. I suppose this is the problem, but I don't know why and how to solve it. Could you help me? Thank you in advice!

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R2019a

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