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Practice JMP using these webinar videos and resources. We hold live Mastering JMP Zoom webinars with Q&A most Fridays at 2 pm US Eastern Time.See the list and register. Local-language live Zoom webinars occur in the UK, Western Europe and Asia. See your country site.

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Building Predictive Models for Spectral Data


Use JMP Pro to build a sustainable empirical model based on spectral data/wavelengths.


See how to:

  • Examine data using Graph Builder to get idea of what different spectra look like
  • Use Multivariate Analysis to examine all wave lengths and resulting Correlation Coefficients to confirm multicolinearity
  • Use Model-Driven Multivariate Control Charts to examine all wave lengths variables, drill into runs that are out of control and identify how many Principal Components you need to build model
  • Take spectra of the desired samples, understanding that there is no need for output (Y) information at this point
  • Identify most prominent dimensions in the spectra by Row with Functional Principal Components from Functional Data Explorer
    • Use Functional Principal Component Profiler to get an idea how your spectra are changing as variable of interest changes
    • Save Functional Principal Component scores to data table to use in experimental design
  • Create an experimental design using the functional Principal Components as factors (covariates)
  • Run the experiment to gather the output of interest
  • Model the results via PLS, and/or Generalized Regression (or other methods able to handle correlated factors)
  • Determine the overall optimum solution
  • Use this sustainable model to determine the outcome for all future samples that are analyzed using the same calibrated instrument
  • Use Score plot to examine Categorical Data

Note: Q&A is included at times 24:21, 25:01, 37:01, 37:49, 38:34 and 42:08.

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