21585310639

Committed 02 Feb 2026 09:52AM UTC coverage: 99.457% (-0.2%) from 99.66%

Build # 21585310639

Build Type

Pull #488

github

Committed by

web-flow

Commit Message

Merge 1a4d42436 into c064e80bf

Pull Request Pull Request #488: Add multilinear regression

Run Details

72 of 84 new or added lines in 6 files covered. (85.71%)

7 existing lines in 3 files now uncovered.

8615 of 8662 relevant lines covered (99.46%)

223.36 hits per line

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80.0

/src/Statistics/Regression/Multilinear.php

<?php

namespace MathPHP\Statistics\Regression;

use MathPHP\Exception;
use MathPHP\Exception\BadDataException;

class Multilinear extends ParametricRegression
{
    use Methods\LeastSquares;
    use Models\MultilinearModel;

    /**
     * Calculates the regression parameters.
     *
     * @throws Exception\BadDataException
     * @throws Exception\IncorrectTypeException
     * @throws Exception\MatrixException
     * @throws Exception\MathException
     */
    public function calculate(): void
    {
        $this->parameters = $this->leastSquares($this->ys, $this->xss)->getColumn(0);
    }

    /**
     * Evaluate the regression equation at x.
     *
     * @param float $x
     *
     * @return float
     *
     * @throws BadDataException
     */
    public function evaluate(float $x): float
    {
        throw new Exception\BadDataException('Multilinear regression does not support evaluate(x)');
    }

    /**
     * Evaluate the regression equation at x vector.
     * Uses the instance model's evaluateModel method.
     *
     * @param non-empty-list<float> $vector
     *
     * @return float
     *
     * @throws BadDataException
     */
    public function evaluateVector(array $vector): float
    {
        if (empty($this->parameters)) {
            throw new Exception\BadDataException('Regression parameters are not calculated');
        }
        return $this->evaluateModel($vector, $this->parameters);
    }
}

1	<?php
2
3	namespace MathPHP\Statistics\Regression;
4
5	use MathPHP\Exception;
6	use MathPHP\Exception\BadDataException;
7
8	class Multilinear extends ParametricRegression
9	{
10	use Methods\LeastSquares;
11	use Models\MultilinearModel;
12
13	/**
14	* Calculates the regression parameters.
15	*
16	* @throws Exception\BadDataException
17	* @throws Exception\IncorrectTypeException
18	* @throws Exception\MatrixException
19	* @throws Exception\MathException
20	*/
21	public function calculate(): void
22	{
23	$this->parameters = $this->leastSquares($this->ys, $this->xss)->getColumn(0);	6✔
24	}
25
26	/**
27	* Evaluate the regression equation at x.
28	*
29	* @param float $x
30	*
31	* @return float
32	*
33	* @throws BadDataException
34	*/
35	public function evaluate(float $x): float
36	{
37	throw new Exception\BadDataException('Multilinear regression does not support evaluate(x)');	1✔
38	}
39
40	/**
41	* Evaluate the regression equation at x vector.
42	* Uses the instance model's evaluateModel method.
43	*
44	* @param non-empty-list<float> $vector
45	*
46	* @return float
47	*
48	* @throws BadDataException
49	*/
50	public function evaluateVector(array $vector): float
51	{
52	if (empty($this->parameters)) {	2✔
NEW 53	throw new Exception\BadDataException('Regression parameters are not calculated');	×
54	}
55	return $this->evaluateModel($vector, $this->parameters);	2✔
56	}
57	}

markrogoyski / math-php / 21585310639

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