Linear and Non Linear Regression: Difference between revisions

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:[[frpcrengine]] - Engine for full-ratio PCR regression.
:[[frpcrengine]] - Engine for full-ratio PCR regression.
:[[leverag]] - Calculate sample leverages.
:[[leverag]] - Calculate sample leverages.
:[[lwrpred]] - Predictions based on locally weighted regression models.
:[[lwr]] - Locally weighted regression for univariate Y.
:[[lwrpred]] - Engine for locally weighted regression models.
:[[mlr]] - Multiple Linear Regression for multivariate Y.
:[[mlr]] - Multiple Linear Regression for multivariate Y.
:[[mlrengine]] - Multiple Linear Regression computational engine.
:[[mlrengine]] - Multiple Linear Regression computational engine.

Revision as of 10:20, 1 September 2010

cls - Classical Least Squares regression for multivariate Y.
cr - Continuum Regression for multivariate y.
crcvrnd - Cross-validation for continuum regression.
crossval - Cross-validation for decomposition and linear regression.
fastnnls - Fast non-negative least squares.
figmerit - Analytical figures of merit for multivariate calibration.
frpcr - Full-ratio PCR calibration and prediction.
frpcrengine - Engine for full-ratio PCR regression.
leverag - Calculate sample leverages.
lwr - Locally weighted regression for univariate Y.
lwrpred - Engine for locally weighted regression models.
mlr - Multiple Linear Regression for multivariate Y.
mlrengine - Multiple Linear Regression computational engine.
modlpred - Predictions using standard model structures.
modlrder - Displays model info for standard model structures.
nippls - NIPALS Partial Least Squares computational engine.
pcr - Principal components regression for multivariate Y.
pcrengine - Principal Component Regression computational engine.
pls - Partial least squares regression for multivariate Y.
plsnipal - NIPALS algorithm for one PLS latent variable.
polypls - PLS regression with polynomial inner-relation.
regcon - Converts regression model to y = ax + b form.
ridge - Ridge regression by Hoerl-Kennard-Baldwin.
ridgecv - Ridge regression by cross validation.
rinverse - Calculate pseudo inverse for PLS, PCR and RR models.
rmse - Calculate Root Mean Square Error.
simpls - Partial Least Squares computational engine using SIMPLS algorithm.
varcapy - Calculate percent y-block variance captured by a PLS regression model.
vip - Calculate Variable Importance in Projection from regression model.

(Sub topic of Categorical_Index)