private void estimateParameters()
{
LinearRegressionModel lrModel = new LinearRegressionModel(this.dependentVariable, this.independentVariables);
this.lrProperties.IncludedObservations = this.dependentVariable.Observations;
this.lrProperties.R = lrModel.LSE.R;
this.lrProperties.RSquare = lrModel.LSE.RSquare;
this.lrProperties.AdjRSquare = lrModel.LSE.AdjRSquare;
this.lrProperties.StandardError = lrModel.LSE.StandardError;
this.lrProperties.DurbinWatson = lrModel.DurbinWatson;
this.lrProperties.SSR = lrModel.LSE.SSR;
this.lrProperties.SST = lrModel.LSE.SSTO;
this.lrProperties.SSE = lrModel.LSE.SSE;
this.lrProperties.MSE = lrModel.LSE.MSE;
this.lrProperties.MSR = lrModel.LSE.MSR;
this.lrProperties.F = lrModel.F;
this.lrProperties.SigOfF = lrModel.SigOfF;
this.lrProperties.Parameters = lrModel.LSE.B.GetData();
this.lrProperties.StandardErrorOfParameters = lrModel.StandardErrorOfParameters;
this.lrProperties.t = lrModel.T;
this.lrProperties.SigOfT = lrModel.SigOfT;
this.lrProperties.LowerBoundForParameters = lrModel.LowerBoundCIForParameters;
this.lrProperties.UpperBoundForParameters = lrModel.UpperBoundCIForParameters;
this.lrProperties.VIFForpredictors = lrModel.VifForPredictors;
this.lrProperties.PartialCorrelations = lrModel.PartialCorrelation;
this.lrProperties.Correlations = lrModel.Correlations;
this.lrTable.Actual = lrModel.LSE.Y.GetData();
this.lrTable.Predicted = lrModel.LSE.YCap.GetData();
this.lrTable.Residual = lrModel.LSE.E.GetData();
this.lrTable.ExpectedResidual = lrModel.ExpectedResidual;
}
private void estimateParameters()
{
LinearRegressionModel lrModel = new LinearRegressionModel(this.dependentVariable, this.independentVariables);
this.lrProperties.IncludedObservations = this.dependentVariable.Observations;
this.lrProperties.R = lrModel.LSE.R;
this.lrProperties.RSquare = lrModel.LSE.RSquare;
this.lrProperties.AdjRSquare = lrModel.LSE.AdjRSquare;
this.lrProperties.StandardError = lrModel.LSE.StandardError;
this.lrProperties.DurbinWatson = lrModel.DurbinWatson;
this.lrProperties.SSR = lrModel.LSE.SSR;
this.lrProperties.SST = lrModel.LSE.SSTO;
this.lrProperties.SSE = lrModel.LSE.SSE;
this.lrProperties.MSE = lrModel.LSE.MSE;
this.lrProperties.MSR = lrModel.LSE.MSR;
this.lrProperties.F = lrModel.F;
this.lrProperties.SigOfF = lrModel.SigOfF;
this.lrProperties.Parameters = lrModel.LSE.B.GetData();
this.lrProperties.StandardErrorOfParameters = lrModel.StandardErrorOfParameters;
this.lrProperties.t = lrModel.T;
this.lrProperties.SigOfT = lrModel.SigOfT;
this.lrProperties.LowerBoundForParameters = lrModel.LowerBoundCIForParameters;
this.lrProperties.UpperBoundForParameters = lrModel.UpperBoundCIForParameters;
this.lrProperties.VIFForpredictors = lrModel.VifForPredictors;
this.lrProperties.PartialCorrelations = lrModel.PartialCorrelation;
this.lrProperties.Correlations = lrModel.Correlations;
this.lrTable.Actual = lrModel.LSE.Y.GetData();
this.lrTable.Predicted = lrModel.LSE.YCap.GetData();
this.lrTable.Residual = lrModel.LSE.E.GetData();
this.lrTable.ExpectedResidual = lrModel.ExpectedResidual;
}
