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research reference added
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{
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"metadata": {
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"name": "",
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"signature": "sha256:6fec0ff80302cd983b1b3ab4e6653aa12c291ed854c5efd69f28608d4f6af614"
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"signature": "sha256:ed0de0773556cdc26dc372038810ad0e5322ec915298a90f2badf09740d856db"
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"nbformat": 3,
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"![](https://raw.githubusercontent.com/rasbt/python_reference/master/Images/least_squares_vertical.png) \n",
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"![](https://raw.githubusercontent.com/rasbt/python_reference/master/Images/least_squares_perpendicular.png) \n",
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"\n",
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"Here, we will use the more common approach: minimizing the sum of the perpendicular offsets.\n"
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"As Michael Burger summarizes it nicely in his article \"[Problems of Linear Least Square Regression - And Approaches to Handle Them](http://www.arsa-conf.com/archive/?vid=1&aid=2&kid=60101-220)\": \"the perpendicular offset method delivers a more precise result but is are more complicated to handle. Therefore normally the vertical offsets are used.\" \n",
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"Here, we will also use the method of computing the vertical offsets.\n",
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"\n"
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]
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},
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{
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{
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"metadata": {
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"name": "",
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"signature": "sha256:6fec0ff80302cd983b1b3ab4e6653aa12c291ed854c5efd69f28608d4f6af614"
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"signature": "sha256:ed0de0773556cdc26dc372038810ad0e5322ec915298a90f2badf09740d856db"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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"![](https://raw.githubusercontent.com/rasbt/python_reference/master/Images/least_squares_vertical.png) \n",
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"![](https://raw.githubusercontent.com/rasbt/python_reference/master/Images/least_squares_perpendicular.png) \n",
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"\n",
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"Here, we will use the more common approach: minimizing the sum of the perpendicular offsets.\n"
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"As Michael Burger summarizes it nicely in his article \"[Problems of Linear Least Square Regression - And Approaches to Handle Them](http://www.arsa-conf.com/archive/?vid=1&aid=2&kid=60101-220)\": \"the perpendicular offset method delivers a more precise result but is are more complicated to handle. Therefore normally the vertical offsets are used.\" \n",
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"Here, we will also use the method of computing the vertical offsets.\n",
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"\n"
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]
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},
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{
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