RegModels Namespace

Introduces routines for several linearizable regression models.

Introduces several ready-to-be-used linearizable regression models:

Power model :
simple linear model :
simple exponential model :
multiple linear model :
Rational function :
Generalized logistic function :
Natural logarithm model:

If your data cannot be described with linearizable equation, you should use the TMtxNonLinReg component or NLinRegress routine to retrieve regression coeeficients from fitted equation.

Topics

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

Functions

	Name	Description
	ExpDeriv	Derivatives of simple exponential function.
	ExpEval	Evaluates b[0]Exp(b[1]X) for given values in X vector, parameters in B array, and returns the results in XHat vector.
	ExpEval	Evaluates exponential function.
	ExpEval	Evaluates exponential function (fully vecctorized version).
	ExpFit	Fits simple exponential equation to data.
	FracEval	Evaluates raational fraction model (parameters are not vectorized).
	FracEval	Evaluate rational fraction (fully vectorized version).
	FracEval	This is function RegModels.FracEval.
	FracEval	Evaluates rational fraction model.
	FracFit	Fits rational fraction equation to data.
	LineDeriv	Derivatives of linear function.
	LineEval	Evaluates b[0] + b[1]*X for given values in X vector, parameters in B array, and returns the results in XHat vector.
	LineEval	Evaluates linear function.
	LineEval	Evaluates linear function (fully vectorized version).
	LineFit	Fits linear equation to data.
	LnEval	Evaluate the logarithm model (partially vectorized).
	LnEval	Evaluate the logarithm y(x)=b[0] + b[1]*ln(x) model.
	LnEval	Evaluate logarithm function (fully vectorized).
	LnFit	Fits simple logarithm equation y(x)=b[0] + b[1]*ln(x) to data.
	LogisticEval	Evaluate logistic model (partially vectorized).
	LogisticEval	Evaluate logistic model.
	LogisticEval	Evaluate logistic function (fully vectorized).
	LogisticFit	Fits logistic equation to data.
	MulLinEval	Evaluates b[0] + b[1]x[0] + b[2]x[1] + ... for given values in X vector, parameters in B array, and returns the results in XHat vector.
	MulLinEval	Evaluates multiple linear function.
	MulLinFit	Fits multiple linear equations to data.
	PowerDeriv	Derivatives of power function.
	PowerEval	Evaluates b[0]*X^b[1] for given values in X vector, parameters in B array, and returns the results in XHat vector.
	PowerEval	Evaluates power function.
	PowerEval	Evaluate power function model (vectorized version).
	PowerFit	Fits simple exponential equation to data.

Structs, Records, Enums

	Name	Description
	TRegressionModel	Defines different linear models.

Links

Legend, Topics, Functions, Structs, Records, Enums

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