Constrained nonlinear regression
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Hi, I was wondering if Matlab has functions to perform constrained nonlinear regression in a similar way as the Constrained Nonlinear Regression (CNLR) in SPSS.
Here is a SPSS syntax example:
*NonLinear Regression.
MODEL PROGRAM b1=13 b2=-6 b3=-1.33 .
COMPUTE PRED_ = b1 + b2 * exp(b3*advert).
CNLR sales
/OUTFILE='C:\TEMP\SPSSFNLR.TMP'
/PRED PRED_
/BOUNDS b1 >= 0; b2 <= 0; b3 <= 0
/SAVE PRED RESID
/CRITERIA STEPLIMIT 2 ISTEP 1E+20 .
Any ideas how to perform this computation in Matlab?
Thanks, Mark
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Sargondjani
il 18 Mag 2012
lsqnonlin
5 Commenti
Sargondjani
il 21 Mag 2012
hmmm, i think you should calculate the errors yourself and check if the SPSS solution gives you a smaller error in matlab...
i did a grid search myself and i came to the same conclusion as lsqnonlin: the optimum is somewhere around 106.7 and 0.25
...maybe you should try to improve the result of SPSS
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