Fitting LSQCURVEFIT

Hello,
I am trying to fit several parameters that effect sever different
outputs. So I have several different data sets and model data.
I have been using LSQCURVEFIT for one set of model and actual data by
creating model coefficients, but don't know how to input multiple data
sets and equations.
In the flowing example I am solving for Z, I generated simulated data
varying TH,F and Z and want to fit it to experimental data, where F
and TH are know and Z is unknown.
%data
MODEL_DATA1(Z,F)
MODEL_DATA2(Z,F)
MODEL_DATA3(Z,TH)
MODEL_DATA4(Z,TH)

EXP_DATA1(F)
EXP_DATA2(F)
EXP_DATA3(TH)
EXP_DATA4(TH)

Should I create a sum of the differences function of all the data as
the input function to lsqcurvefit?

Thanks,
Germain
.

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