Mike Anderson, Sr. Systems Engineer, SAS Institute
There is a no-man's-land in JMP, a place where it is scary to venture. It is a place inhabited by specters of data sets too complex for simple nonlinear regression, but too ephemeral for functional data analysis. It is a strange place. It appears basic methods are enough to venture here but using those techniques quickly becomes unmanageable. These spectra can come from many sources, but all have a common problem: there is too much data for simple nonlinear regression or too litttle to use functional methods. Join me on a journey across this challenging landscape of classical spectroscopy to learn methods for extracting information from examples of complex spectra and how to automate the process.
