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Newport iServer MicroServer iTHX-M Operator's Manual page 365

Temperature + humidity
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Appendix D | Bayesian Robust Linear Model with Mahalanobis (BRLMM) Distance Classifier Al-
probe intensities than does DM, making them far more robust in
the presence of real world data.
Figure D.1 below presents an overview of the BRLMM workflow.
Figure D.1
BRLMM Algorithm Workflow

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