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Optimization with factor constraints

So I want to perform an optimization but I want to include constraints of the factor combinations possible, from which the optimum should be found. So I want T1, T2, T3 as well as D1, D2, D3 to be varied at the same time. So all factors containing T should have the same level and all factors containing D should have the same level at the end of the optimization. So in a sense, the respective factors should be tied together for the optimization (T1 = T2 = T3, D1 = D2 = D3). Sadly I did not find how to do this in JMP. Any help is welcome!

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Basic Data Analysis and Modeling

Design of Experiments

Re: Optimization with factor constraints

Create a two new columns in the data table, T and D. Copy the prediction formula of the model and replace T1, T2, T3 in the model with T, and D1, D2, D3 in the model with D. The profiler that function and find the optimal setting for T and D.