| PLSplus/IQ Prediction Reports
The
PLSplus/IQ Prediction Setup allows you to specify how a spectrum is analysed
and how to output the results each time you execute a calibration. Users
can predict samples against multiple calibrations to determine if the
spectrum matches the calibration well enough to give an accurate prediction.
Qualitative tests can be performed using quantitative models as if the
calibrations were designed for that purpose. Using Discriminant Analysis
as a prefilter before applying quantitative calculations allows PLSplus/IQ
to select the calibration that best matches the sample spectrum. In addition,
outlier samples can be quickly and easily determined during sample prediction
giving you the utmost assurance of the results.
You can customise the prediction report to include constituent quantities,
Mahalanobis Distance, Model Limits Tests, and spectral residual. Users
can organise the report by constituent, calibration or sample and print,
copy, or save the report to an ASCII file.
Each copy of PLSplus/IQ includes three
additional licences for distributing your calibration model to other GRAMS/AI
computer systems. In addition, many instrument systems can use the calibration
directly.
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