Uses of Class
fr.cnes.sirius.patrius.math.stat.regression.RegressionResults

Packages that use RegressionResults

Package	Description
fr.cnes.sirius.patrius.math.stat.regression

Uses of RegressionResults in fr.cnes.sirius.patrius.math.stat.regression

Methods in fr.cnes.sirius.patrius.math.stat.regression that return RegressionResults

Modifier and Type	Method and Description
RegressionResults	UpdatingMultipleLinearRegression.regress() Performs a regression on data present in buffers and outputs a RegressionResults object
RegressionResults	SimpleRegression.regress() Performs a regression on data present in buffers and outputs a RegressionResults object.
RegressionResults	MillerUpdatingRegression.regress() Conducts a regression on the data in the model, using all regressors.
RegressionResults	MillerUpdatingRegression.regress(int numberOfRegressors) Conducts a regression on the data in the model, using a subset of regressors.
RegressionResults	UpdatingMultipleLinearRegression.regress(int[] variablesToInclude) Performs a regression on data present in buffers including only regressors indexed in variablesToInclude and outputs a RegressionResults object
RegressionResults	SimpleRegression.regress(int[] variablesToInclude) Performs a regression on data present in buffers including only regressors indexed in variablesToInclude and outputs a RegressionResults object
RegressionResults	MillerUpdatingRegression.regress(int[] variablesToInclude) Conducts a regression on the data in the model, using regressors in array Calling this method will change the internal order of the regressors and care is required in interpreting the hatmatrix.