SelectionRegression Constructor | Constructs a new SelectionRegression object. |
CriterionOption | The criterion option used to calculate the regression estimates. |
MaximumBestFound | The maximum number of best regressions to be found. |
MaximumGoodSaved | The maximum number of good regressions for each subset size saved. |
MaximumSubsetSize | The maximum subset size if criterion is used. |
Statistics | A SummaryStatistics object. |
Compute | Overloaded. Computes the best multiple linear regression models using a user-supplied covariance matrix. |
Equals (inherited from Object) | Determines whether the specified Object is equal to the current Object. |
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. |
GetType (inherited from Object) | Gets the Type of the current instance. |
ToString (inherited from Object) | Returns a String that represents the current Object. |
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. |
SelectionRegression Class | Imsl.Stat Namespace | Example 1 | Example 2