diff --git a/sklearn/gaussian_process/correlation_models.py b/sklearn/gaussian_process/correlation_models.py
index 941f7756fb80c00be8f0471fb75b39dfafaf91af..3b954e2582b03e6168cc12bf68d97015eb3f155c 100644
--- a/sklearn/gaussian_process/correlation_models.py
+++ b/sklearn/gaussian_process/correlation_models.py
@@ -14,7 +14,7 @@ from ..utils import deprecated
 
 
 @deprecated("The function absolute_exponential of correlation_models is "
-            "deprecated in version 0.20 and will be removed in 0.22.")
+            "deprecated in version 0.19.1 and will be removed in 0.22.")
 def absolute_exponential(theta, d):
     """
     Absolute exponential autocorrelation model.
@@ -58,7 +58,7 @@ def absolute_exponential(theta, d):
 
 
 @deprecated("The function squared_exponential of correlation_models is "
-            "deprecated in version 0.20 and will be removed in 0.22.")
+            "deprecated in version 0.19.1 and will be removed in 0.22.")
 def squared_exponential(theta, d):
     """
     Squared exponential correlation model (Radial Basis Function).
@@ -103,7 +103,7 @@ def squared_exponential(theta, d):
 
 
 @deprecated("The function generalized_exponential of correlation_models is "
-            "deprecated in version 0.20 and will be removed in 0.22.")
+            "deprecated in version 0.19.1 and will be removed in 0.22.")
 def generalized_exponential(theta, d):
     """
     Generalized exponential correlation model.
@@ -155,7 +155,7 @@ def generalized_exponential(theta, d):
 
 
 @deprecated("The function pure_nugget of correlation_models is "
-            "deprecated in version 0.20 and will be removed in 0.22.")
+            "deprecated in version 0.19.1 and will be removed in 0.22.")
 def pure_nugget(theta, d):
     """
     Spatial independence correlation model (pure nugget).
@@ -194,7 +194,7 @@ def pure_nugget(theta, d):
 
 
 @deprecated("The function cubic of correlation_models is "
-            "deprecated in version 0.20 and will be removed in 0.22.")
+            "deprecated in version 0.19.1 and will be removed in 0.22.")
 def cubic(theta, d):
     """
     Cubic correlation model::
@@ -246,7 +246,7 @@ def cubic(theta, d):
 
 
 @deprecated("The function linear of correlation_models is "
-            "deprecated in version 0.20 and will be removed in 0.22.")
+            "deprecated in version 0.19.1 and will be removed in 0.22.")
 def linear(theta, d):
     """
     Linear correlation model::
diff --git a/sklearn/gaussian_process/regression_models.py b/sklearn/gaussian_process/regression_models.py
index 7d2152dfc5e34114308e5b2597017c08f840df05..b0f7535d11ee88d4128fa9ab4cd64eddbf01ed69 100644
--- a/sklearn/gaussian_process/regression_models.py
+++ b/sklearn/gaussian_process/regression_models.py
@@ -14,7 +14,7 @@ from ..utils import deprecated
 
 
 @deprecated("The function constant of regression_models is "
-            "deprecated in version 0.20 and will be removed in 0.22.")
+            "deprecated in version 0.19.1 and will be removed in 0.22.")
 def constant(x):
     """
     Zero order polynomial (constant, p = 1) regression model.
@@ -40,7 +40,7 @@ def constant(x):
 
 
 @deprecated("The function linear of regression_models is "
-            "deprecated in version 0.20 and will be removed in 0.22.")
+            "deprecated in version 0.19.1 and will be removed in 0.22.")
 def linear(x):
     """
     First order polynomial (linear, p = n+1) regression model.
@@ -66,7 +66,7 @@ def linear(x):
 
 
 @deprecated("The function quadratic of regression_models is "
-            "deprecated in version 0.20 and will be removed in 0.22.")
+            "deprecated in version 0.19.1 and will be removed in 0.22.")
 def quadratic(x):
     """
     Second order polynomial (quadratic, p = n*(n-1)/2+n+1) regression model.