If you have multiple responses then presumably you have a predictive equation for each of those responses. If that is the case then you should have a minimum and a maximum level of desirability for each response. If this is true then take your equations – put them in a program, assemble the matrix of X’s and run the equations against the matrix. Next, tell the machine to sort through the predictions with the restrictions on minimum and maximum acceptable criteria for all of the responses (this done simultaneously) and find those that fall within your specifications.
What you will have will be a matrix consisting of settings and the corresponding predicted responses. Since it is very unlikely you will find a combination of X’s that gives you the best of everything you will have to look over the predictions and decide for yourself which set of X’s results in a group of predicted responses that are the “best”.
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