Using JMP^® Pro to Model Functional Data 

See how to preprocess functional data and use the results to build surrogate models; analyze the surrogate models using PCA (Principal Component Analysis); and use PCA results for subsequent modeling. 

This webinar covers: targeting function matching to fit the ideal response curve, using automated knot selection to build better models more quickly, saving model information for future modeling and optimization efforts.