Regress Unit

Functions

NameDescription
ANOVA1 (2)Performs a one-way (single-factor) analysis of variance (ANOVA).
ANOVA2Performs balanced two-way analysis of variance (ANOVA).
LinRegressSimple linear regression.
LogisticRegress (2)Ordinal logistic regression.
MulLinRegress (2)Multivariante linear regression.
MultiNumericDeriveVectorized computation of the numerical derivative for the regress function.
NLinRegress (4)General non-linear regression.
NumericDeriveNumerical derivative for regress function.
PCRegress (2)Weighted PC regression.
PoissonRegressPoisson generalized linear model with log-link.
PRESSPrediction error sum of squares (PRESS).
R2R2 value.
RegressTest (2)Regression tests.
RidgeOptimalkOptimal k value for ridge regression.
RidgeRegressRegression by using "ridge" regression method.
StepwiseRegressionStepwise regression is an optimization aglorithm aiming to improve the quality of the multiple linear regression by excluding noisy variables.

Records

NameDescription
TANOVA1ResultDefines one-way ANOVA statistics parameters.
TANOVA2ResultDefines two-way ANOVA (with or without replications) statistics parameters.
TFStatsDefines F statistics parameters for regression test.
TRegStatsRegression statistical parameters.

Enumerations

NameDescription
TRegSolveMethodDefines regression equation solve method.
TStepwiseMethodStepwise regression optimization algorithm.

Events

NameDescription
TDeriveProcDefines derivatives of a function.
TMultiDeriveProcDefines derivatives of a function.
TMultiRegressFunDefines multiple regression function.
TRegressFunDefines regression function.
TStepwiseQualityCriteriaCallback function for custom quality criteria of stepwise regression optimization algorithm.