Set up travis, add first test

.travis.yml

@@ -0,0 +1,3 @@
+language: node_js
+node_js:
+  - 0.6

README.md

@@ -1,3 +1,5 @@
+[![Build Status](https://secure.travis-ci.org/tmcw/simple-statistics.png?branch=master)](http://travis-ci.org/tmcw/simple-statistics)
+
 A project to learn about and make simple reference implementations
 of statistics algorithms.
 

index.js

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+module.exports = {
+    linear_regression: require('./src/linear_regression.js')
+};

package.json

@@ -8,8 +8,13 @@
     "url": "git://github.com/tmcw/node-statistics.git"
   },
   "dependencies": {},
-  "devDependencies": {},
+  "devDependencies": {
+    "mocha": "1.2.x"
+  },
   "optionalDependencies": {},
+  "scripts": {
+    "test": "mocha"
+  },
   "engines": {
     "node": "*"
   }

src/linear_regression.js

@@ -64,6 +64,8 @@ function linear_regression() {
     return linreg;
 }
 
+if (module && module.exports) module.exports = linear_regression;
+
 // This implementation was influenced by
 //
 // * [Least squares in Javascript](http://dracoblue.net/dev/linear-least-squares-in-javascript/159/)

test/linear_regression.test.js

@@ -0,0 +1,8 @@
+var assert = require('assert');
+var ss = require('../index.js');
+
+it('correctly generates a line for a 0, 0 to 1, 1 dataset', function() {
+    var l = ss.linear_regression().data([[0, 0], [1, 1]]);
+    assert.equal(l.line()(0), 0);
+    assert.equal(l.line()(1), 1);
+});