Uses of Class org.apache.commons.math3.stat.regression.ModelSpecificationException (Apache Commons Math 3.6.1 API)

Prev
Next

All Classes

Packages that use ModelSpecificationException
Package Description

org.apache.commons.math3.stat.regression
Statistical routines involving multivariate data.

Uses of ModelSpecificationException in org.apache.commons.math3.stat.regression

Methods in org.apache.commons.math3.stat.regression that throw ModelSpecificationException
Modifier and Type	Method and Description
`void`	SimpleRegression.`addData(double[][] data)` Adds the observations represented by the elements in `data`.
`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.`addObservation(double[] x, double y)` Adds an observation to the regression 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.
`void`	MillerUpdatingRegression.`addObservations(double[][] x, double[] y)` Adds multiple observations to the model.
`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`	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.

Constructors in org.apache.commons.math3.stat.regression that throw ModelSpecificationException
Constructor and 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.

Prev
Next

All Classes

Copyright © 2003–2016 The Apache Software Foundation. All rights reserved.