This is a linear regression function. Algorithm can be effectively reviewed. The effect is very good.

linearRegression\linregCreate.m
................\linregFit.m
................\linregFitBayes.m
................\linregLogprob.m
................\linregPredict.m
................\linregPredictBayes.m
................\......RobustStudent\linregRobustStudentFit.m
................\...................\sub\linregRobustLaplaceFitLinprog.m
................\...................\...\linregRobustStudentFitConstr.m
................\...................\...\linregRobustStudentFitEm.m
................\...................\...\linregRobustStudentFitUnconstr.m
................\sub\linregCensoredFitEm.m
................\...\linregDofL2.m
................\...\linregFitBayesGaussPrior.m
................\...\linregFitBayesJeffreysPrior.m
................\...\linregFitBayesZellnerPrior.m
................\...\linregFitEbChen.m
................\...\linregFitEbNetlab.m
................\...\linregFitL2Minfunc.m
................\...\linregFitL2Netlab.m
................\...\linregFitL2QR.m
................\...\linregFitLassoEm.m
................\...\linregFitSparseEmFrancois.m
................\...\linregFitVb.m
................\...\linregFrequentistSummary.m
................\...\linregLambdas.m
................\...\LinregLoss.m
................\...\LinregLossScaled.m
................\...\linregMultitaskMixPriorFitEm.m
................\...\linregPostSummary.m
................\...\linregPredictNetlab.m
................\...\linregRobustHuberFit.m
................\linregRobustStudent\sub
................\linregRobustStudent
................\sub
linearRegression

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