The NonlinearRegression type exposes the following members.
Constructors
| Name | Description | |
|---|---|---|
 | NonlinearRegression |
Constructs a new nonlinear regression object.
|
Methods
| Name | Description | |
|---|---|---|
| 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.
|
| GetHashCode |
Serves as a hash function for a particular type.
(Inherited from Object.) |
| GetSSE |
Returns the sums of squares for error.
|
| 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.
|
| ToString | (Inherited from Object.) |
Properties
| Name | Description | |
|---|---|---|
 | AbsoluteTolerance |
The absolute function tolerance.
|
| Coefficients |
The regression coefficients.
|
| DFError |
The degrees of freedom for error.
|
| Digits |
The number of good digits in the residuals.
|
| ErrorStatus |
Characterizes the performance of NonlinearRegression.
|
| FalseConvergenceTolerance |
The false convergence tolerance.
|
| GradientTolerance |
The gradient tolerance.
|
| Guess |
The initial guess of the parameter values.
|
| InitialTrustRegion |
The initial trust region radius.
|
| MaxIterations |
The maximum number of iterations allowed during optimization
|
| MaxStepsize |
The maximum allowable stepsize.
|
| R |
A copy of the R matrix.
|
| Rank |
The rank of the matrix.
|
| RelativeTolerance |
The relative function tolerance
|
| Scale |
The scaling array for theta.
|
| StepTolerance |
The step tolerance.
|
