Model Analysis and Calculation Utilities: Difference between revisions

Revision as of 12:03, 28 August 2009

compressmodel - Remove references to unused variables from a model.

estimatefactors - Estimate number of significant factors in multivariate data.

figmerit - Analytical figures of merit for multivariate calibration.

leverag - Calculate sample leverages.

knnscoredistance - Calculate the average distance to the k-Nearest Neighbors in score space.

qconcalc - Calculate Q residuals contributions for predictions on a model.

regcon - Converts regression model to y = ax + b form.

residuallimit - Estimates confidence limits for sum squared residuals.

reviewmodel - Examines a standard model structure for typical problems.

rinverse - Calculate pseudo inverse for PLS, PCR and RR models.

rmse - Calculate Root Mean Square Error.

tconcalc - Calculate Hotellings T2 contributions for predictions on a model.

tsqlim - Confidence limits for Hotelling's T^2.

varcapy - Calculate percent y-block variance captured by a PLS regression model.

vip - Calculate Variable Importance in Projection from regression model.

@@ Line 1: / Line 1: @@
 :[[compressmodel]] - Remove references to unused variables from a model.
-:[[estimatefactors]] -
+:[[estimatefactors]] - Estimate number of significant factors in multivariate data.
 :[[figmerit]] - Analytical figures of merit for multivariate calibration.
 :[[leverag]] - Calculate sample leverages.
+:[[knnscoredistance]] - Calculate the average distance to the k-Nearest Neighbors in score space.
 :[[qconcalc]] - Calculate Q residuals contributions for predictions on a model.
 :[[regcon]] - Converts regression model to y = ax + b form.