The LinearRegression type exposes the following members.
Properties
| Name | Description | |
|---|---|---|
 | ColumnResizeIncrement |
Gets and sets the amount by which the regression matrix is resized
if columns are added.
|
| CovarianceMatrix |
Gets the covariance matrix.
|
| HasInterceptParameter |
Returns true if the model has an intercept parameter; otherwise,
false.
|
| Intercept |
Gets the intercept.
|
| IsGood |
Returns true if the model parameters were successfuly computed;
otherwise, false.
|
| NumberOfObservations |
Gets the number of observations.
|
| NumberOfParameters |
Gets the number of parameters in the model.
|
| NumberOfPredictors |
Gets the number of predictors.
|
| Observations |
Gets the vector of observations.
|
| ParameterCalculationErrorMessage |
Gets the error message associated with a failed parameter calculation.
|
| ParameterEstimates |
Gets an array of parameter objects which may be used to perform hypothesis tests on
individual parameters in the model.
|
| Parameters |
Gets the computed model parameters.
|
| PredictorMatrix |
Gets the predictor matrix.
|
| RegressionCalculator |
Gets and sets the regression calculation object used for computing
the model parameters.
|
| RegressionMatrix |
Gets the regression matrix.
|
| Residuals |
Get the vector of residuals.
|
| RowResizeIncrement |
Gets and sets the amount by which the regression matrix is resized
if rows are added.
|
| Variance |
Gets an estimate of the variance.
|
