Design of Experiments (DOE)

With Design of Experiments module, the user can create an experimental design, construct the response surface model for this design, and analyze the characteristics of the design and the approximate model. The user can also use the generated approximate model optimization or other tasks.

A DOE Sample

The list of available DOE design methods is as follows.

Factorial Design
Central Composite Design
Box-Behnken Design
Koshal Design
Standard Latin Hypercube and Optimal Latin Hypercube Design
Taguchi Design
Simplex Design
Random Design
User Defined
D-Optimal Design

The approximation models consist of:

Linear
Mixed: Linear + Interaction
Mixed: Linear + Quadratic
Full Quadratic
Forward Stepwise Regression