als-statistics/tests/analyze/regression/regression.test.js

Modular JS statistics toolkit for Node.js and the browser: descriptive stats, correlations (Pearson/Spearman/Kendall), t-tests & ANOVA (Student/Welch), reliability (Cronbach’s alpha), regression (linear/logistic), clustering (DBSCAN/HDBSCAN), and table/co

import test from 'node:test';
import assert from 'node:assert/strict';
import Regression from '../../../lib/analyze/regression/index.js';

test('Regression: htmlTables (и внутренние RegressionBase.htmlTable) доступны', () => {
  const r = new Regression(
    { y: [1,2,3,4,5], x1: [0,1,1,2,3] },
    { yName: 'y', xNames: ['x1'], type: 'linear' }
  );
  // добиваем шаг add next() чтобы прогнать .next и склейку htmlTables
  r.next(['x1*x1']);
  const html = r.htmlTables;
  assert.equal(typeof html, 'string');
  assert.ok(html.includes('Linear regression to predict y'));
  // в результирующем HTML должны быть хотя бы два блока (за 2 шага)
  assert.ok((html.match(/<hr>/g) || []).length >= 1);
});