diff --git a/skglm/estimators.py b/skglm/estimators.py
index ecad63a12..6da433bfd 100644
--- a/skglm/estimators.py
+++ b/skglm/estimators.py
@@ -314,6 +314,9 @@ class Lasso(LinearModel, RegressorMixin):
     tol : float, optional
         Stopping criterion for the optimization.
 
+    positive : bool, optional
+        When set to ``True``, forces the coefficient vector to be positive.
+
     fit_intercept : bool, optional (default=True)
         Whether or not to fit an intercept.
 
@@ -459,6 +462,9 @@ class WeightedLasso(LinearModel, RegressorMixin):
     tol : float, optional
         Stopping criterion for the optimization.
 
+    positive : bool, optional
+        When set to ``True``, forces the coefficient vector to be positive.
+
     fit_intercept : bool, optional (default=True)
         Whether or not to fit an intercept.
 
@@ -621,6 +627,9 @@ class ElasticNet(LinearModel, RegressorMixin):
     tol : float, optional
         Stopping criterion for the optimization.
 
+    positive : bool, optional
+        When set to ``True``, forces the coefficient vector to be positive.
+
     fit_intercept : bool, optional (default=True)
         Whether or not to fit an intercept.