DOC Fix bracket typo in linear_model.rst
@@ -71,7 +71,7 @@ The least squares solution is computed using the singular value
decomposition of X. If X is a matrix of shape `(n_samples, n_features)`
this method has a cost of
:math:`O(n_{\text{samples}} n_{\text{features}}^2)`, assuming that
-:math:`n_{\text{samples} \geq n_{\text{features}}}`.
+:math:`n_{\text{samples}} \geq n_{\text{features}}`.
.. _ridge_regression:
