Public Instance Constructors
NonlinearRegression Constructor
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Constructs a new nonlinear regression object. |
Public Instance Properties
 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. |
Public Instance Methods
| Equals (inherited from Object) | Determines whether the specified Object is equal to the current Object. |
| GetCoefficient | Returns the estimate for a coefficient. |
| GetHashCode (inherited from Object) | Serves as a hash function for a particular type, suitable for use in hashing algorithms and data structures like a hash table. |
| GetSSE | Returns the sums of squares for error. |
| GetType (inherited from Object) | Gets the Type of the current instance. |
| Solve | Solves the least squares problem and returns the regression coefficients. |
| ToString (inherited from Object) | Returns a String that represents the current Object. |
Protected Instance Methods
 Finalize (inherited from Object) | Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection. |
| MemberwiseClone (inherited from Object) | Creates a shallow copy of the current Object. |
See Also
NonlinearRegression Class | Imsl.Stat Namespace | Example 1 | Example 2 | Example 3