Regress Namespace

Regression routines.

Unit introduces several regression routines:

Name	Description
Functions	The following table lists functions in this documentation.
Structs, Records, Enums	The following table lists structs, records, enums in this documentation.
Types	The following table lists types in this documentation.

	Name	Description
	ANOVA1	Performs a one-way (single-factor) analysis of variance (ANOVA).
	ANOVA1	Perform the one-way analysis of variance where Data vector (one variable) is indexed by a second grouping GroupIndex vector variable.
	ANOVA2	Performs balanced two-way analysis of variance (ANOVA).
	LinRegress	Simple linear regression.
	LogisticRegress	Ordinal logistic regression.
	LogisticRegress	Logistic regression.
	MulLinRegress	Multivariante linear regression.
	MulLinRegress	Multivariante linear regression.
	MultiNumericDerive	Vectorized computation of the numerical derivative for the regress function.
	NLinRegress	General non-linear regression.
	NLinRegress	Non-linear regression with lower and upper bounds.
	NLinRegress	General vectorized non-linear regression.
	NLinRegress	Non-linear regression with lower and upper bounds.
	NumericDerive	Numerical derivative for regress function.
	PCRegress	Principal Component Regression.
	PCRegress	Weighted PC regression.
	PoissonRegress	Poisson generalized linear model with log-link.
	PRESS	Prediction error sum of squares (PRESS).
	R2	R2 value.
	RegressTest	Regression tests.
	RegressTest	Regression tests.
	RidgeOptimalk	Optimal k value for ridge regression.
	RidgeRegress	Regression by using "ridge" regression method.
	StepwiseRegression	Stepwise regression is an optimization aglorithm aiming to improve the quality of the multiple linear regression by excluding noisy variables.

	Name	Description
	TANOVA1Result	Defines one-way ANOVA statistics parameters.
	TANOVA2Result	Defines two-way ANOVA (with or without replications) statistics parameters.
	TFStats	Defines F statistics parameters for regression test.
	TRegSolveMethod	Defines regression equation solve method.
	TRegStats	Regression statistical parameters.
	TStepwiseMethod	Stepwise regression optimization algorithm.

Name	Description
TDeriveProc	Defines derivatives of a function.
TMultiDeriveProc	Defines derivatives of a function.
TMultiRegressFun	Defines multiple regression function.
TRegressFun	Defines regression function.
TStepwiseQualityCriteria	Callback function for custom quality criteria of stepwise regression optimization algorithm.

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