# regression-multivariate-linear

**Repository Path**: mirrors_mljs/regression-multivariate-linear

## Basic Information

- **Project Name**: regression-multivariate-linear
- **Description**: Multivariate linear regression
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-10-22
- **Last Updated**: 2026-03-22

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# ml-regression-multivariate-linear

[![NPM version][npm-image]][npm-url]
[![build status][ci-image]][ci-url]
[![npm download][download-image]][download-url]

Multivariate linear regression.

## Installation

`npm install --save ml-regression-multivariate-linear`

## API

### new MLR(x, y[, options])

**Arguments**

- `x`: Matrix containing the inputs
- `y`: Matrix containing the outputs

**Options**

- `intercept`: boolean indicating if intercept terms should be computed (default: true)
- `statistics`: boolean for calculating and returning regression statistics (default: true)

## Usage

```js
import MLR from "ml-regression-multivariate-linear";

const x = [
  [0, 0],
  [1, 2],
  [2, 3],
  [3, 4]
];
// Y0 = X0 * 2, Y1 = X1 * 2, Y2 = X0 + X1
const y = [
  [0, 0, 0],
  [2, 4, 3],
  [4, 6, 5],
  [6, 8, 7]
];
const mlr = new MLR(x, y);
console.log(mlr.predict([3, 3]));
// [6, 6, 6]
```

## License

[MIT](./LICENSE)

[npm-image]: https://img.shields.io/npm/v/ml-regression-multivariate-linear.svg
[npm-url]: https://npmjs.org/package/ml-regression-multivariate-linear
[ci-image]: https://github.com/mljs/regression-multivariate-linear/workflows/Node.js%20CI/badge.svg?branch=master
[ci-url]: https://github.com/mljs/regression-multivariate-linear/actions?query=workflow%3A%22Node.js+CI%22
[download-image]: https://img.shields.io/npm/dm/ml-regression-multivariate-linear.svg
[download-url]: https://npmjs.org/package/ml-regression-multivariate-linear