Regression Common Functions Package

RegressionReportValues — obtain a list of possible report values

Ellipsoid — primitive for ellipsoidal values

Options

RegressionReport — values to include in output

Weights — weight values for data

Linear and Nonlinear Report Values

BestFitParameters — parameter estimates

FitResiduals — residual error in fitted values

ANOVATable ▪ BestFit ▪ EstimatedVariance ▪ HatDiagonal ▪ MeanPredictionCITable ▪ ParameterCITable ▪ ParameterConfidenceRegion ▪ ParameterTable ▪ PredictedResponse ▪ SinglePredictionCITable ▪ StandardizedResiduals ▪ SummaryReport

Linear Report Values

CovarianceMatrix — covariances between fitted parameters

RSquared — squared multiple correlation coefficient

AdjustedRSquared ▪ BestFitParametersDelta ▪ CatcherMatrix ▪ CoefficientOfVariation ▪ CookD ▪ CorrelationMatrix ▪ CovarianceMatrixDetRatio ▪ DurbinWatsonD ▪ EigenstructureTable ▪ JackknifedVariance ▪ PartialSumOfSquares ▪ PredictedResponseDelta ▪ SequentialSumOfSquares ▪ StudentizedResiduals ▪ VarianceInflation

Nonlinear Report Values

AsymptoticCovarianceMatrix — approximate covariances between fitted parameters

FitCurvatureTable — curvature diagnostics

AsymptoticCorrelationMatrix ▪ ParameterBias ▪ StartingParameters

• Linear Regression Package
• Nonlinear Regression Package
• Curve Fitting and Approximate Functions