| Package | Description |
|---|---|
| org.apache.commons.math3.stat.regression |
Statistical routines involving multivariate data.
|
| Modifier and Type | Method and Description |
|---|---|
RegressionResults |
SimpleRegression.regress()
Performs a regression on data present in buffers and outputs a RegressionResults object.
|
RegressionResults |
UpdatingMultipleLinearRegression.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 |
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(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.
|
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