The NonlinearRegression type exposes the following members.
Constructors
Name | Description | |
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NonlinearRegression |
Constructs a new nonlinear regression object.
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Methods
Name | Description | |
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Equals | (Inherited from Object.) | |
Finalize |
Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.
(Inherited from Object.) | |
GetCoefficient |
Returns the estimate for a coefficient.
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GetHashCode |
Serves as a hash function for a particular type.
(Inherited from Object.) | |
GetSSE |
Returns the sums of squares for error.
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GetType |
Gets the Type of the current instance.
(Inherited from Object.) | |
MemberwiseClone |
Creates a shallow copy of the current Object.
(Inherited from Object.) | |
Solve |
Solves the least squares problem and returns the regression
coefficients.
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ToString | (Inherited from Object.) |
Properties
Name | Description | |
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AbsoluteTolerance |
The absolute function tolerance.
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Coefficients |
The regression coefficients.
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DFError |
The degrees of freedom for error.
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Digits |
The number of good digits in the residuals.
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ErrorStatus |
Characterizes the performance of NonlinearRegression.
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FalseConvergenceTolerance |
The false convergence tolerance.
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GradientTolerance |
The gradient tolerance.
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Guess |
The initial guess of the parameter values.
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InitialTrustRegion |
The initial trust region radius.
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MaxIterations |
The maximum number of iterations allowed during optimization
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MaxStepsize |
The maximum allowable stepsize.
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R |
A copy of the R matrix.
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Rank |
The rank of the matrix.
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RelativeTolerance |
The relative function tolerance
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Scale |
The scaling array for theta.
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StepTolerance |
The step tolerance.
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