You already have the regression models? Now, given these models, you want to find some optimal point, based on some constraints?
From what you have said, these models are probably polynomial in form, since you have lots of coefficients.
If all of the models are purely linear, then linprog would suffice. I doubt they are linear though, as you would have few coefficients to worry about.
So then fmincon will be appropriate.
Do NOT type in the coefficients. Do NOT do that. People think they see a coefficient like 1.237 in the command window, so they can just use that number as the coefficient in some messy regression model. NONONONONO!!!!!!!!!
The number is NOT truly 1.237. There are more digits than that in the number. You need to use the number as it was estimated and stored in MATLAB. The difference is almost always important in a large polynomial regression model. Otherwise, the next frenzied question you ask on this site is why does my regression model not predict properly, or why does it predict strange things?
How to do this all? You learn to use MATLAB. You learn to use matrices & vectors, matrix multiplication, etc. Yes, I know, that is not very specific as a response, because you have told us essentially nothing of significance in your question. So I can't be more helpful than that. But it is accurate.
