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Java Source Code / Java Documentation » Chart » jfreechart » org.jfree.data.statistics   Source Cross Reference   Class Diagram   Java Document (Java Doc)   java.lang.Object    org.jfree.data.statistics.Regression Regression abstract public class Regression (Code) A utility class for fitting regression curves to data. Method Summary public static  double[] getOLSRegression(double[][] data)      Returns the parameters 'a' and 'b' for an equation y = a + bx, fitted to the data using ordinary least squares regression. public static  double[] getOLSRegression(XYDataset data, int series)      Returns the parameters 'a' and 'b' for an equation y = a + bx, fitted to the data using ordinary least squares regression. public static  double[] getPowerRegression(double[][] data)      Returns the parameters 'a' and 'b' for an equation y = ax^b, fitted to the data using a power regression equation. public static  double[] getPowerRegression(XYDataset data, int series)      Returns the parameters 'a' and 'b' for an equation y = ax^b, fitted to the data using a power regression equation. Method Detail getOLSRegression public static double[] getOLSRegression(double[][] data)(Code) Returns the parameters 'a' and 'b' for an equation y = a + bx, fitted to the data using ordinary least squares regression. The result is returned as a double[], where result[0] --> a, and result[1] --> b. Parameters:   data - the data. The parameters. getOLSRegression public static double[] getOLSRegression(XYDataset data, int series)(Code) Returns the parameters 'a' and 'b' for an equation y = a + bx, fitted to the data using ordinary least squares regression. The result is returned as a double[], where result[0] --> a, and result[1] --> b. Parameters:   data - the data. Parameters:   series - the series (zero-based index). The parameters. getPowerRegression public static double[] getPowerRegression(double[][] data)(Code) Returns the parameters 'a' and 'b' for an equation y = ax^b, fitted to the data using a power regression equation. The result is returned as an array, where double[0] --> a, and double[1] --> b. Parameters:   data - the data. The parameters. getPowerRegression public static double[] getPowerRegression(XYDataset data, int series)(Code) Returns the parameters 'a' and 'b' for an equation y = ax^b, fitted to the data using a power regression equation. The result is returned as an array, where double[0] --> a, and double[1] --> b. Parameters:   data - the data. Parameters:   series - the series to fit the regression line against. The parameters. Methods inherited from java.lang.Object native protected Object clone() throws CloneNotSupportedException(Code)(Java Doc) public boolean equals(Object obj)(Code)(Java Doc) protected void finalize() throws Throwable(Code)(Java Doc) final native public Class getClass()(Code)(Java Doc) native public int hashCode()(Code)(Java Doc) final native public void notify()(Code)(Java Doc) final native public void notifyAll()(Code)(Java Doc) public String toString()(Code)(Java Doc) final native public void wait(long timeout) throws InterruptedException(Code)(Java Doc) final public void wait(long timeout, int nanos) throws InterruptedException(Code)(Java Doc) final public void wait() throws InterruptedException(Code)(Java Doc)