From e6051d7ba09c6ee3cf9a872b73743d7ac96de624 Mon Sep 17 00:00:00 2001
From: Fabian Joswig <fabian.joswig@ed.ac.uk>
Date: Tue, 7 Mar 2023 16:39:37 +0000
Subject: [PATCH] docs: docstring of least_squares updated.

---
 pyerrors/fits.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/pyerrors/fits.py b/pyerrors/fits.py
index da8c8ff6..d98f7aa0 100644
--- a/pyerrors/fits.py
+++ b/pyerrors/fits.py
@@ -151,7 +151,6 @@ def least_squares(x, y, func, priors=None, silent=False, **kwargs):
         For details about how the covariance matrix is estimated see `pyerrors.obs.covariance`.
         In practice the correlation matrix is Cholesky decomposed and inverted (instead of the covariance matrix).
         This procedure should be numerically more stable as the correlation matrix is typically better conditioned (Jacobi preconditioning).
-        At the moment this option only works for `prior==None` and when no `method` is given.
     expected_chisquare : bool
         If True estimates the expected chisquare which is
         corrected by effects caused by correlated input data (default False).