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

Packages that use ModelSpecificationException

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

void	SimpleRegression.addData(double[][] data) Adds the observations represented by the elements in data.
void	UpdatingMultipleLinearRegression.addObservation(double[] x, double y) Adds one observation to the regression model.
void	SimpleRegression.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	UpdatingMultipleLinearRegression.addObservations(double[][] x, double[] y) Adds a series of observations to the regression model.
void	SimpleRegression.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	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	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

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.