Class LinearRegression

java.lang.Object

org.episteme.core.mathematics.statistics.fitting.LinearRegression

public class LinearRegression
extends Object

Linear regression: y = a + b*x (least squares).

Since:

1.0

Author:

Silvere Martin-Michiellot, Gemini AI (Google DeepMind)

Method Summary

Modifier and Type	Method	Description
static LinearRegression	fit(double[] x, double[] y)	Fits a linear model to the data.
static LinearRegression	fit(Real[] x, Real[] y)	Fits linear model using Real types.
double	getIntercept()
double	getRSquared()
int	getSampleSize()
double	getSlope()
double	getStandardError()
double	predict(double x)	Predicts y for given x.
Real	predict(Real x)
String	toString()

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Method Details

fit

public static LinearRegression fit(double[] x,
 double[] y)

Fits a linear model to the data.

Parameters:

x - Independent variable values

y - Dependent variable values

Returns:

LinearRegression model

fit

public static LinearRegression fit(Real[] x,
 Real[] y)

Fits linear model using Real types.

predict

public double predict(double x)

Predicts y for given x.

predict

public Real predict(Real x)

getSlope

public double getSlope()

getIntercept

public double getIntercept()

getRSquared

public double getRSquared()

getStandardError

public double getStandardError()

getSampleSize

public int getSampleSize()

toString

public String toString()

Overrides:

toString in class Object