Class Regression

java.lang.Object

cloud.opencode.base.math.stats.Regression

public final class Regression
extends Object

Regression analysis utilities. 回归分析工具类

Provides least-squares linear regression with R-squared goodness-of-fit.

提供最小二乘线性回归及 R 平方拟合优度。

Since:

JDK 25, opencode-base-math V1.0.3

Author:

Leon Soo www.LeonSoo.com

See Also:

• OpenCode.cloud

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static final record	Regression.LinearModel	Result of a linear regression: y = slope * x + intercept.

Method Summary

Modifier and Type	Method	Description
static Regression.LinearModel	linear(double[] x, double[] y)	Performs ordinary least-squares linear regression.

Methods inherited from class Object

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

Method Details

linear

public static Regression.LinearModel linear(double[] x,
 double[] y)

Performs ordinary least-squares linear regression. 执行普通最小二乘线性回归

Fits the model y = slope * x + intercept that minimizes the sum of squared residuals.

拟合最小化残差平方和的模型 y = slope * x + intercept。

Parameters:

x - the independent variable values / 自变量值

y - the dependent variable values / 因变量值

Returns:

a Regression.LinearModel containing slope, intercept, and R-squared / 包含斜率、截距和 R 平方的线性模型

Throws:

IllegalArgumentException - if arrays are null, empty, different lengths, or have fewer than 2 elements