Analytic tools in modeFRONTIER: exploring your Design Space to extract relevant information

When managing complex problems with many input factors and multiple responses it is necessary to apply statistical methods to reduce the complexity and initiate a learning process from dedicated experiments. The fundamental pillars of the statistical methods like Design and Analysis of Experiments are easily accessible in the modeFRONTIER framework.

With the new Sensitivity Analysis tool in modeFRONTIER, using the Smoothing Spline ANOVA (SSANOVA) proprietary algorithm, users can now easily perform a variable screening to exclude variables from optimization or RSMs projects.

[yazanalhazaimeh]

This is wonderful, thank you for the great video. It helped a lot.
Can you tell more on how can I clean up my data to get better correlations?