How to perform non linear regression on a multiple input multiple output matrix equation?
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Let's say I have the following matrix equation (where X is my input vector, Y is my output vector and B is my vector of parameters to be estimated):
If I have a 100x3 data matrix for X and a 100x2 data matrix for Y, how can I perform non linear regression to estimate the values of B(1), B(2) and B(3)?
To the best of my knowledge, the function 'nlinfit' requires that Y be a column vector.
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