{ "metadata": { "name": "basic_least_squares" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Basic least squares" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import pandas as pd\n", "import numpy as np\n", "import pandas.rpy.common as com" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "markdown", "metadata": {}, "source": [ "To do this exercise, let's load the `galton` data from R:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "galton = com.load_data('galton', package='UsingR')\n", "galton.head()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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