diff --git a/man/CreateInputsCrit_Lavenne.Rd b/man/CreateInputsCrit_Lavenne.Rd
index 543ccf361936666cbc8d821316daf67f8ee06390..30f5e428b95e6b6c88fded04c3afa30b8d2ff301 100644
--- a/man/CreateInputsCrit_Lavenne.Rd
+++ b/man/CreateInputsCrit_Lavenne.Rd
@@ -61,7 +61,7 @@ CreateInputsCrit_Lavenne(FUN_CRIT = ErrorCrit_KGE,
 
 Items \code{Weights} of the criteria are respectively equal to \code{k} and \code{k * max(0, AprCrit)}.
 
-To calculate the de Lavenne criterion, it is necessary to use the \code{ErrorCrit} function as for any other composite criterion.
+To calculate the Lavenne criterion, it is necessary to use the \code{ErrorCrit} function as for any other composite criterion.
 }
 
 
@@ -99,7 +99,7 @@ Param <- c(X1 = 257.238, X2 = 1.012, X3 = 88.235, X4 = 2.208)
 OutputsModel <- RunModel_GR4J(InputsModel = InputsModel,
                               RunOptions = RunOptions, Param = Param)
 
-## The "a priori" parameters for the de Lavenne formula
+## The "a priori" parameters for the Lavenne formula
 AprParamR <- c(X1 = 157, X2 = 0.8, X3 = 100, X4 = 1.5)
 
 ## Single efficiency criterion: GAPX with a priori parameters