Process Control and Statistics: Difference between revisions
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MSPC and Identification of Finite Impulse Response Models. | MSPC and Identification of Finite Impulse Response Models. | ||
See Also Quantitative Modeling above | See Also Quantitative Modeling above | ||
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:[[replace]] - Replaces variables based on PCA or PLS models. | :[[replace]] - Replaces variables based on PCA or PLS models. | ||
:[[wrtpulse]] - Create input/output matrices for dynamic model identification. | :[[wrtpulse]] - Create input/output matrices for dynamic model identification. | ||
(Sub topic of [[PLS_Toolbox_Topics|PLS_Toolbox_Topics]]) | |||
Revision as of 16:40, 2 September 2008
MSPC and Identification of Finite Impulse Response Models. See Also Quantitative Modeling above
- residuallimit - Estimates confidence limits for sum squared residuals.
- tsqlim - Confidence limits for Hotelling's T^2.
- batchdigester - Parse wafer or batch data into MPCA or Summary PCA form.
- autocor - Auto-correlation function for time series data.
- crosscor - Cross-correlation function for time series data.
- fir2ss - Transform FIR model into equivalent state space model.
- plspulsm - Identifies FIR dynamics models for MISO systems.
- plsrsgcv - Generate PLS models for MSPC with cross-validation.
- plsrsgn - Generates a matrix of PLS models for MSPC.
- replace - Replaces variables based on PCA or PLS models.
- wrtpulse - Create input/output matrices for dynamic model identification.
(Sub topic of PLS_Toolbox_Topics)