As of Version 7.0, RegressionCommon` functionality is built into Mathematica.

Regression Common Functions Package

 

参考资料参考资料

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

New to Mathematica? Find your learning path »
Have a question? Ask support »