Package | Description |
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org.hipparchus.stat.regression |
Statistical routines involving multivariate data.
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Modifier and Type | Method | Description |
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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 |
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.
|
RegressionResults |
SimpleRegression.regress() |
Performs a regression on data present in buffers and outputs a RegressionResults object.
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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 |
UpdatingMultipleLinearRegression.regress() |
Performs a regression on data present in buffers and outputs a RegressionResults object
|
RegressionResults |
UpdatingMultipleLinearRegression.regress(int[] variablesToInclude) |
Performs a regression on data present in buffers including only regressors
indexed in variablesToInclude and outputs a RegressionResults object
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