From 2f0faf117ead5f92424bd3c67c434eb3ecaa9661 Mon Sep 17 00:00:00 2001
From: Jitse Niesen <jitse@maths.leeds.ac.uk>
Date: Tue, 6 Aug 2013 08:03:39 +0100
Subject: [PATCH] Remove LinearLeastSquares.dox , which should not have been
 added. Accidentally included in changeset
 e37ff98bbb21f2ee44c6d912002ddf2cdf05ccda  .

---
 doc/LinearLeastSquares.dox | 27 ---------------------------
 1 file changed, 27 deletions(-)
 delete mode 100644 doc/LinearLeastSquares.dox

diff --git a/doc/LinearLeastSquares.dox b/doc/LinearLeastSquares.dox
deleted file mode 100644
index ab21a87ae..000000000
--- a/doc/LinearLeastSquares.dox
+++ /dev/null
@@ -1,27 +0,0 @@
-namespace Eigen {
-
-/** \eigenManualPage LinearLeastSquares Solving linear least squares problems
-
-lede
-
-\eigenAutoToc
-
-\section LinearLeastSquaresCopied Copied
-
-The best way to do least squares solving is with a SVD decomposition. Eigen provides one as the JacobiSVD class, and its solve()
-is doing least-squares solving.
-
-Here is an example:
-<table class="example">
-<tr><th>Example:</th><th>Output:</th></tr>
-<tr>
-  <td>\include TutorialLinAlgSVDSolve.cpp </td>
-  <td>\verbinclude TutorialLinAlgSVDSolve.out </td>
-</tr>
-</table>
-
-For more information, including faster but less reliable methods, read our page concentrating on \ref LinearLeastSquares "linear least squares problems".
-
-*/
-
-}