Select Optimal Design (Response Surface)
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Stat > DOE > Response Surface > Select Optimal Design

Use to select design points based on some criteria to achieve an optimal design. You can use Select Optimal Design to:

·    Select an "optimal" set of design points

·    Augment (add points to) an existing design

·    Improve the D-optimality of an existing design

·    Evaluate and compare designs

Dialog box items

Criterion

D-optimality: Choose to select design points based on D-optimality.

Distance-based optimality: Choose to select design points based on distance-based optimality.

Number of points in optimal design: Enter the number of points to be selected for the optimal design. If the criterion is D-optimality, the number of points must be at least as many design points as there are terms in the model. If the criterion is distance-based optimality, the number of points must be less than or equal to the number of distinct design points in the candidate set.

Specify design columns: If the criterion is distance-based optimality, delete the design columns that you do not want to include in the optimal design.

·    For a response surface design, you can include all the factors or a subset of the factors.

·    For a mixture design, you must include all components. You can also include all the process variables or a subset of the process variables, and an amount variable.

By default, Minitab will include all input variables in the candidate design.

Task

Select optimal design: Choose to select an optimal design.

Augment/improve design (you may optionally provide an indicator column that you created): Choose to augment or improve an existing design. If you like, enter an indicator column in the box to define the initial design.

Evaluate design (you may optionally provide an evaluate column that you created): Choose to evaluate a design. If you like, enter an evaluate column in the box to specify which worksheet rows to include in the design.

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