Model Analysis and Calculation Utilities: Difference between revisions
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:[[residuallimit]] - Estimates confidence limits for sum squared residuals. | :[[residuallimit]] - Estimates confidence limits for sum squared residuals. | ||
:[[reviewmodel]] - Examines a standard model structure for typical problems. | :[[reviewmodel]] - Examines a standard model structure for typical problems. | ||
:[[reviewcrossval]] - Examines cross-validation settings for typical problems. | |||
:[[rinverse]] - Calculate pseudo inverse for PLS, PCR and RR models. | :[[rinverse]] - Calculate pseudo inverse for PLS, PCR and RR models. | ||
:[[rmse]] - Calculate Root Mean Square Error. | :[[rmse]] - Calculate Root Mean Square Error. |
Latest revision as of 16:33, 10 June 2014
- 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.
- reviewcrossval - Examines cross-validation settings 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.
(Sub topic of Quantitative_Regression_Analysis)