Level: Intermediate

Bill Worley, JMP Senior Global Enablement Engineer, SAS

In the recent past Partial Least Squares (PLS) has been used to build predictive models for spectral data. A newer approach using Functional Data Explorer (FDE) and Covariate Design of Experiments (DOE) will be shown that will allow for fewer spectra to be used in the development of a good predictive model. This method uses one-fourth to one-third of the data that would otherwise be used to build a predictive model based on spectral data.

Published on ‎03-24-2025 08:36 AM by Community Manager Community Manager | Updated on ‎04-08-2025 09:08 AM

Level: Intermediate

Bill Worley, JMP Senior Global Enablement Engineer, SAS

In the recent past Partial Least Squares (PLS) has been used to build predictive models for spectral data. A newer approach using Functional Data Explorer (FDE) and Covariate Design of Experiments (DOE) will be shown that will allow for fewer spectra to be used in the development of a good predictive model. This method uses one-fourth to one-third of the data that would otherwise be used to build a predictive model based on spectral data.



Start:
Mon, Oct 14, 2019 09:00 AM EDT
End:
Fri, Oct 18, 2019 05:00 PM EDT
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