diff --git a/man/ErrorCrit_KGE.Rd b/man/ErrorCrit_KGE.Rd
index 2c17cb549d016d197647d9f6a15a95a429f179b0..ddbf6afb5765de6032ba2ba7ef1f8fbb658f0497 100644
--- a/man/ErrorCrit_KGE.Rd
+++ b/man/ErrorCrit_KGE.Rd
@@ -45,7 +45,7 @@ ErrorCrit_KGE(InputsCrit, OutputsModel, warnings = TRUE, verbose = TRUE)
 
 \details{
 In addition to the criterion value, the function outputs include a multiplier (-1 or +1) which allows
-the use of the function for model calibration: the product CritValue * Multiplier is the criterion to be minimised (Multiplier = -1 for KGE).\cr\cr
+the use of the function for model calibration: the product \eqn{CritValue \times Multiplier} is the criterion to be minimised (Multiplier = -1 for KGE).\cr\cr
 The KGE formula is
 \deqn{KGE = 1 - \sqrt{(r - 1)^2 + (\alpha - 1)^2 + (\beta - 1)^2}}{KGE = 1 - sqrt((r - 1)² + (\alpha - 1)² + (\beta - 1)²)}
 with the following sub-criteria:
diff --git a/man/ErrorCrit_KGE2.Rd b/man/ErrorCrit_KGE2.Rd
index 98e609b7108543f8c4206ce6d5c80834305383fc..d4ae8c033536d4875bfe9d3e0a32f694cc923702 100644
--- a/man/ErrorCrit_KGE2.Rd
+++ b/man/ErrorCrit_KGE2.Rd
@@ -45,7 +45,7 @@ ErrorCrit_KGE2(InputsCrit, OutputsModel, warnings = TRUE, verbose = TRUE)
 
 \details{
 In addition to the criterion value, the function outputs include a multiplier (-1 or +1) which allows
-the use of the function for model calibration: the product CritValue * Multiplier is the criterion to be minimised (Multiplier = -1 for KGE2).\cr\cr
+the use of the function for model calibration: the product \eqn{CritValue \times Multiplier} is the criterion to be minimised (Multiplier = -1 for KGE2).\cr\cr
 The KGE' formula is
 \deqn{KGE' = 1 - \sqrt{(r - 1)^2 + (\gamma - 1)^2 + (\beta - 1)^2}}{KGE' = 1 - sqrt((r - 1)² + (\gamma - 1)² + (\beta - 1)²)}
 with the following sub-criteria:
diff --git a/man/ErrorCrit_NSE.Rd b/man/ErrorCrit_NSE.Rd
index 47f838e24a5122981c0b927b91a7fc7cfed8ecb4..879ec7219145550ba74c62bd975b8f39b77a60f3 100644
--- a/man/ErrorCrit_NSE.Rd
+++ b/man/ErrorCrit_NSE.Rd
@@ -43,7 +43,7 @@ Function which computes an error criterion based on the NSE formula proposed by
 
 \details{
 In addition to the criterion value, the function outputs include a multiplier (-1 or +1) which allows
-the use of the function for model calibration: the product CritValue * Multiplier is the criterion to be minimised
+the use of the function for model calibration: the product \eqn{CritValue \times Multiplier} is the criterion to be minimised
 (Multiplier = -1 for NSE).
 }
 
diff --git a/man/ErrorCrit_RMSE.Rd b/man/ErrorCrit_RMSE.Rd
index 89bc0223ff035a6b287f0b060c5dd4e3b3b9d331..82fac665987b74af4fa231fc756209401caccd14 100644
--- a/man/ErrorCrit_RMSE.Rd
+++ b/man/ErrorCrit_RMSE.Rd
@@ -43,7 +43,7 @@ Function which computes an error criterion based on the root-mean-square error (
 
 \details{
 In addition to the criterion value, the function outputs include a multiplier (-1 or +1) which allows 
-the use of the function for model calibration: the product CritValue * Multiplier is the criterion to be minimised 
+the use of the function for model calibration: the product \eqn{CritValue \times Multiplier} is the criterion to be minimised 
 (Multiplier = +1 for RMSE).
 }