diff --git a/.gitignore b/.gitignore
index fdaac56f..2701c491 100644
--- a/.gitignore
+++ b/.gitignore
@@ -6,6 +6,9 @@ __pycache__
 .cache
 examples/B1k2_pcac_plateau.p
 examples/Untitled.*
+examples/pcac_plateau_test_ensemble.json.gz
 core.*
 *.swp
 htmlcov
+build
+pyerrors.egg-info
diff --git a/pyerrors/fits.py b/pyerrors/fits.py
index 3af1f96e..ebe24df5 100644
--- a/pyerrors/fits.py
+++ b/pyerrors/fits.py
@@ -95,7 +95,8 @@ def least_squares(x, y, func, priors=None, silent=False, **kwargs):
         If true all output to the console is omitted (default False).
     initial_guess : list
         can provide an initial guess for the input parameters. Relevant for
-        non-linear fits with many parameters.
+        non-linear fits with many parameters. In case of correlated fits the guess is used to perform
+        an uncorrelated fit which then serves as guess for the correlated fit.
     method : str, optional
         can be used to choose an alternative method for the minimization of chisquare.
         The possible methods are the ones which can be used for scipy.optimize.minimize and