Specify the boundaries, weight, and importance for Response Optimizer

Response Optimizer > Setup

For more information specifying boundaries for each response, go to Setting a target value and lower and upper bounds in response optimization.

Note

If you optimize multiple response columns where at least one of them has missing values, you may receive an error saying the models use different methods to standardize the shared variables. If you receive this error, you must exclude rows where the response columns have a missing value.

Response: Displays all the responses that are included in the optimization. This column does not take any input.
Goal: Displays the goal that you specified for each response. This column does not take any input.
Lower: For each response that has a goal of Target or Maximize, enter a lower boundary. By default, Minitab uses the minimum value in the data. With a binary response, Minitab uses the minimum proportion in the data.
Target: Enter a target value for each response. If your goal is to target a specific value, the target value is the target that you entered in the main dialog box. If your goal is to minimize the response, by default, Minitab sets the target value at the minimum value of the data. If your goal is to maximize the response, Minitab sets the target value to the maximum value of the data.; With a binary response, Minitab uses the minimum proportion or the maximum proportion in the data.
Upper: For each response that has a goal of Minimize or Target, enter an upper boundary. By default, Minitab uses the maximum value in the data. With a binary response, Minitab uses the maximum proportion in the data.
Weight: Enter a number from 0.1 to 10 to define the shape for the desirability function. For more information, go to Determining the weight in response optimization.
Importance: Enter a number from 0.1 to 10 to specify the comparative importance of the response. For more information, go to What is importance in response optimization?