public virtual double[,] GetCoefficientStatistics(
	int regressionIndex
)

Public Overridable Function GetCoefficientStatistics ( 
	regressionIndex As Integer
) As Double(,)

public:
virtual array<double,2>^ GetCoefficientStatistics(
	int regressionIndex
)

abstract GetCoefficientStatistics : 
        regressionIndex : int -> float[,] 
override GetCoefficientStatistics : 
        regressionIndex : int -> float[,] 

Parameters

regressionIndex

Type: SystemInt32
An int which specifies the index of the best regression statistics to return.

Return Value

The value set using MaximumBestFound determines the total number of best regressions to find. The number of best regression is equal to (MaximumSubsetSize x MaximumBestFound), if criterion RSquared is specified or it is equal to MaximumBestFound if either MallowsCP or AdjustedRSquared is specified.

Each row contains statistics related to the regression coefficients of the best models. The regressions are ordered so that the better regressions appear first. The statistic in the columns are as follows (inferences are conditional on the selected model):

There will be 0 to (MaximumSubsetSize x MaximumBestFound - 1) best regressions if RSquared is specified or 0 to (MaximumBestFound - 1) if either MallowsCP or AdjustedRSquared is specified.

Reference