Uses of Class org.apache.commons.math4.legacy.stat.regression.ModelSpecificationException (Apache Commons Math (Legacy) 4.0-SNAPSHOT API)

Packages that use ModelSpecificationException
Package Description

org.apache.commons.math4.legacy.stat.regression
Statistical routines involving multivariate data.

Uses of ModelSpecificationException in org.apache.commons.math4.legacy.stat.regression

Methods in org.apache.commons.math4.legacy.stat.regression that throw ModelSpecificationException
Modifier and Type	Method	Description
`void`	SimpleRegression.`addData(double[][] data)`	Adds the observations represented by the elements in `data`.
`void`	MillerUpdatingRegression.`addObservation(double[] x, double y)`	Adds an observation to the regression model.
`void`	SimpleRegression.`addObservation(double[] x, double y)`	Adds one observation to the regression model.
`void`	UpdatingMultipleLinearRegression.`addObservation(double[] x, double y)`	Adds one observation to the regression model.
`void`	MillerUpdatingRegression.`addObservations(double[][] x, double[] y)`	Adds multiple observations to the model.
`void`	SimpleRegression.`addObservations(double[][] x, double[] y)`	Adds a series of observations to the regression model.
`void`	UpdatingMultipleLinearRegression.`addObservations(double[][] x, double[] y)`	Adds a series of observations to the regression model.
`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.
`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.

Constructors in org.apache.commons.math4.legacy.stat.regression that throw ModelSpecificationException
Constructor	Description
`MillerUpdatingRegression(int numberOfVariables, boolean includeConstant)`	Primary constructor for the MillerUpdatingRegression.
`MillerUpdatingRegression(int numberOfVariables, boolean includeConstant, double errorTolerance)`	This is the augmented constructor for the MillerUpdatingRegression class.