test.js

const fs = require('fs');
const regression = require('regression');

function createNDimArray(dimensions) {
    var t, i = 0, s = dimensions[0], arr = new Array(s);
    if ( dimensions.length < 3 ) for ( t = dimensions[1] ; i < s ; ) arr[i++] = new Array(t);
    else for ( t = dimensions.slice(1) ; i < s ; ) arr[i++] = createNDimArray(t);
    return arr;
}

function graph(input) {
	for(var x = 0; x < input.length; x++) {
		console.log(JSON.stringify(input[x]));
	}
}
function fill(input, fillWith) {
	for(var x = 0; x < input.length; x++) {
		for(var y = 0; y < input[x].length; y++) {
			input[x][y] = fillWith;
		}
	}
	return input;
}

function fuzz(number, amount) {
	return getRandom(number-amount, number+amount);
}

function fuzzInt(number, amount) {
	return Math.floor(fuzz(number, amount));
}

function linearGenerate(input, m, b, fuzz) {
	var len = input.length;
	for(var x = 0; x < len; x++)
		input[x][fuzzInt((m * x) + b, fuzz)] = 1;
	return input;
}

function getRandom(min, max) {
  return Math.random() * (max - min) + min;
}

function flipMatrixValues(input) {
	for(var x = 0; x < input.length; x++) {
		input[x] = input[x].reverse();
	}
	return input;
}
function toCSV(input) {
	var points = [];
	points.push('x,y');
	for(var x = 0; x < input.length; x++) {
		for(var y = 0; y < input[x].length; y++) {
			if(input[x][y] == 1)
				points.push( x + "," + y );
		}
	}
	return points.join('\n');
}
function fixForRegression(input) {
		var points = [];
	for(var x = 0; x < input.length; x++) {
		for(var y = 0; y < input[x].length; y++) {
			if(input[x][y] == 1)
				points.push([x, y]);
		}
	}
	return points;
}
function generate(m, b, fuzz) {
	var data = createNDimArray([20, 20]);
	data = fill(data, 0);
	data = linearGenerate(data, m, b, fuzz);
	return data;
}

var data = generate(1, 0, 0.8);
var temp = toCSV(data);
var result = regression('linear', fixForRegression(data));
var newData = generate(result.equation[0], result.equation[1], 0);

temp += toCSV(newData);
fs.writeFile('test.csv', temp, function(a,b) {})