Uses of Class
org.hipparchus.stat.regression.RegressionResults

Packages that use RegressionResults

Package	Description
org.hipparchus.stat.regression	Statistical routines involving multivariate data.

Uses of RegressionResults in org.hipparchus.stat.regression

Methods in org.hipparchus.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.