Nlinfit several response variables

Hello,

I try to find the best model that would fit three dependent responses, such as v-velocity, u-velocity and temperature. So in the example: beta = nlinfit(X,Y,modelfun,beta0), I would like to have a matrix for Y, which consist of 3 columns. How can I do it?

In modelfun I write how to calculate each variable (buried in Y) using the same parameters beta.

My code is:

coordinates = [x_coord,y_coord];

beta0 = [-144 79 12000 0.2 1.2563];

data = [velocity_x; velocity_y; T_record];

[beta,~,~] = nlinfit(coordinates,data,@model_Rankine,beta0)

How may I make this code to work? Any suggestions would be very helpful.

Thanks, Yana.

[Star Strider]

Your @model_Rankine function has to return values matching the values in data. It has to calculate and return fitted values for [velocity_x; velocity_y; T_record]. Posting it here will help if you are having problems with it. (Please also post a subset of your X and Y data that has at least as many entries as the number of parameters in your model.)

Please also format your code using the [{}Code] button. It makes it easier to read.