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DOE++ Design of Experiments Software
 Design of Experiments Software

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DOE++ Features Summary

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Tools for Refining and Extending the Analysis

Diagnostics for a Closer Look
The Diagnostics window provides run-by-run results and residual metrics to help you assess the fit of the model at each data point and identify potential outliers.

Diagnostics Window

Variability Analysis
For designs with more than one replicate, DOE++ gives you the ability to determine the variability of the response(s) across runs and to analyze that standard deviation information, offering valuable insight into the sources of variation within the experimental data.

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Prediction
DOE++
's Prediction window allows you to enter your own combinations of factor settings and returns response values based on the fitted model, complete with confidence metrics.

Prediction Window

Optimization for Your Desired Outcome
You can specify the goal for each response in your analysis (as a maximum, minimum or target value). DOE++ will search for the combinations of factor settings that most effectively lead to the desired output and rank them according to their desirability. If certain responses are more important to optimize than others, or if the target is more narrowly defined, the software can take that into account. Solutions can be viewed graphically or numerically.

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