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## Monitoring, Diagnosing and Improving Large-Scale Complex Processes

See how to:

• Use Model-Driven Multivariate control Charts
• Use integrated graphlet-based drilldown graphics to help determine root causes quickly
• Understand the usefulness of Partial Least Squares (PLS) and Principal Components Analysis (PLS)
• Create Multivariate Control Charts based on a PLS or PCA model
• Generate and interpret statistics
• T2
• Normalized DModX and SPE (Squared Prediction Error) Charts that provide a summary of what, if anything is out of control

Note: Q&A is included at times 21:18, 21:28, 21:31, 23:03, 23:36, 24:25, 25:09, 26:37 and 38:07.

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