 Name  Description 

 AdjustedRSquared 
Gets the adjusted R Squared value for the regression.
(Overrides RegressionModelTAdjustedRSquared.) 
 AnovaTable 
Gets the AnovaTable that summarizes the results of this model.
(Inherited from RegressionModelT.) 
 BaseFeatureIndex 
Gets an index containing the keys of the columns
that are required inputs to the model.
(Inherited from Model.) 
 BestFitParameters  Obsolete.
Gets a vector containing the values of the regression parameters.

 Computed  Obsolete.
Gets whether the model has been computed.
(Inherited from Model.) 
 CovarianceMatrix 
Gets the covariance matrix of the model parameters.
(Inherited from RegressionModelT.) 
 Curve  
 Data 
Gets an object that contains all the data used as input to the model.
(Inherited from Model.) 
 DegreesOfFreedom 
Gets the total degrees of freedom of the data.
(Inherited from RegressionModelT.) 
 DependentVariable 
Gets a vector that contains the dependent variable that is to be fitted.
(Inherited from RegressionModelT.) 
 Fitted 
Gets whether the model has been computed.
(Inherited from Model.) 
 FStatistic 
Gets the F statistic for the regression.
(Inherited from RegressionModelT.) 
 IndependentVariables 
Gets a matrix whose columns contain the independent variables in the model.
(Inherited from RegressionModelT.) 
 InitialGuess 
Gets or sets the initial values for the curve parameters.

 InputSchema 
Gets the schema for the features used for fitting the model.
(Inherited from Model.) 
 LogLikelihood 
Gets the loglikelihood that the model generated the data.
(Inherited from RegressionModelT.) 
 MaxDegreeOfParallelism 
Gets or sets the maximum degree of parallelism enabled by this instance.
(Inherited from Model.) 
 Method 
Gets or sets the nonlinear least squares algorithm that is to be used
in the calculations.

 ModelSchema 
Gets the collection of variables used in the model.
(Inherited from Model.) 
 NumberOfObservations 
Gets the number of observations the model is based on.
(Inherited from Model.) 
 Optimizer 
Gets the optimizer used to calculate the nonlinear leastsquares solution.

 ParallelOptions 
Gets or sets an object that specifies how the calculation of the model should be parallelized.
(Inherited from Model.) 
 Parameters 
Gets the collection of parameters associated with this model.
(Inherited from RegressionModelT.) 
 ParameterValues 
Gets the values of the parameters associated with this model.
(Inherited from RegressionModelT.) 
 Predictions 
Gets a vector containing the model's predicted values for the dependent variable.
(Inherited from RegressionModelT.) 
 PValue 
Gets the probability corresponding to the F statistic for the regression.
(Inherited from RegressionModelT.) 
 Residuals 
Gets a vector containing the residuals of the model.
(Inherited from RegressionModelT.) 
 ResidualSumOfSquares 
Gets the sum of squares of the residuals of the model.
(Inherited from RegressionModelT.) 
 RSquared 
Gets the R Squared value for the regression.
(Inherited from RegressionModelT.) 
 StandardError 
Gets the standard error of the regression.
(Inherited from RegressionModelT.) 
 Status 
Gets the status of the model, which determines which information is available.
(Inherited from Model.) 
 SupportsWeights 
Indicates whether the model supports case weights.
(Inherited from Model.) 
 Weights 
Gets or sets the actual weights.
(Inherited from Model.) 