org.jfree.data.statistics
public abstract class Regression extends java.lang.Object
Constructor and Description |
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Regression() |
Modifier and Type | Method and Description |
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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.
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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.
|
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.
|
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.
|
public Regression()
public static double[] getOLSRegression(double[][] data)
data
- the data.public static double[] getOLSRegression(XYDataset data, int series)
data
- the data.series
- the series (zero-based index).public static double[] getPowerRegression(double[][] data)
data
- the data.public static double[] getPowerRegression(XYDataset data, int series)
data
- the data.series
- the series to fit the regression line against.Copyright © 2000-2009 by Object Refinery Limited. All Rights Reserved.