diff --git a/NAMESPACE b/NAMESPACE
index 75e76312e..32cfe9170 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -76,6 +76,7 @@ export(linfct_from_model)
 export(linfct_matrix_contrasts)
 export(make_benchmark)
 export(make_interaction_column)
+export(make_model)
 export(make_reduced_hierarchy_config)
 export(matrix_to_tibble)
 export(medpolish_estimate)
diff --git a/R/tidyMS_R6_Modelling.R b/R/tidyMS_R6_Modelling.R
index 9c537315b..88dd0dea6 100644
--- a/R/tidyMS_R6_Modelling.R
+++ b/R/tidyMS_R6_Modelling.R
@@ -556,6 +556,21 @@ linfct_from_model <- function(m, as_list = TRUE){
   }
 }
 
+#' make interaction model for examples
+#' @export
+#' @example path.R
+make_model <- function(model = " ~ Treatment * Background"){
+  istar <- prolfqua::sim_lfq_data_protein_2Factor_config(Nprot = 1,with_missing = FALSE)
+  istar <- prolfqua::LFQData$new(istar$data,istar$config)
+  modelFunction <- strategy_lm(paste0(istar$response(), model))
+  mod <- build_model(
+    istar,
+    modelFunction)
+  return(mod$modelDF$linear_model[[1]])
+}
+
+
+
 #' linfct_matrix_contrasts
 #' @export
 #' @param linfct linear functions as created by linfct_from_model
@@ -565,14 +580,27 @@ linfct_from_model <- function(m, as_list = TRUE){
 #' @family modelling
 #' @keywords internal
 #' @examples
-#' m <- prolfqua_data('data_basicModel_p1807')
-#' linfct <- linfct_from_model(m,as_list = FALSE)
-#' linfct
-#'
-#' Contrasts <- c("CMPvsMEP - HSC" = "`CelltypeCMP/MEP` - `CelltypeHSC`",
-#' "NOvsHU" = "`class_therapyc.NO:CelltypeCMP/MEP` - `class_therapyp.HU:CelltypeCMP/MEP`")
-#' linfct_matrix_contrasts(linfct, Contrasts )
 #'
+#' m <- make_model( " ~ Treatment + Background")
+#' Contr <- c("TreatmentA_vs_B" = "TreatmentA - TreatmentB",
+#'     "BackgroundX_vs_Z" = "BackgroundX - BackgroundZ",
+#'     "IntoflintoA" = "`TreatmentA:BackgroundX` - `TreatmentA:BackgroundZ`",
+#'     "IntoflintoB" = "`TreatmentB:BackgroundX` - `TreatmentB:BackgroundZ`",
+#'     "IntoflintoX" = "`TreatmentA:BackgroundX` - `TreatmentB:BackgroundX`",
+#'     "IntoflintoZ" = "`TreatmentA:BackgroundZ` - `TreatmentB:BackgroundZ`",
+#'     "interactXZ" = "IntoflintoX - IntoflintoZ",
+#'     "interactAB" = "IntoflintoA - IntoflintoB"
+#'      )
+#' linfct <- linfct_from_model(m, as_list = FALSE)
+#' x<- linfct_matrix_contrasts(linfct, Contr )
+#' stopifnot(sum(x["interactXZ",]) ==0 )
+#' stopifnot(sum(x["interactAB",]) ==0 )
+#'
+#' m <- make_model( " ~ Treatment * Background")
+#' linfct <- linfct_from_model(m, as_list = FALSE)
+#' x<- linfct_matrix_contrasts(linfct, Contr )
+#' stopifnot(sum(x["interactXZ",]) ==1 )
+#' stopifnot(sum(x["interactAB",]) ==1 )
 linfct_matrix_contrasts <- function(linfct , contrasts, p.message = FALSE){
   linfct <- t(linfct)
   df <- tibble::as_tibble(linfct, rownames = "interaction")
@@ -606,10 +634,8 @@ linfct_matrix_contrasts <- function(linfct , contrasts, p.message = FALSE){
 #' @keywords internal
 #' @family modelling
 #' @examples
-#' m <- prolfqua_data('data_basicModel_p1807')
-#' m
+#' m <- make_model( " ~ Treatment * Background")
 #' linfct <- linfct_from_model(m)
-#'
 #' xl <- prolfqua::linfct_all_possible_contrasts(linfct$linfct_factors)
 #' xx <- prolfqua::linfct_all_possible_contrasts(linfct$linfct_interactions)
 #'
@@ -633,9 +659,8 @@ linfct_all_possible_contrasts <- function(lin_int ){
 #' @keywords internal
 #' @examples
 #'
-#' m <- prolfqua_data('data_basicModel_p1807')
+#' m <- make_model( " ~ Treatment * Background")
 #' xl <- linfct_factors_contrasts(m)
-#' xl
 #' m <- lm(Petal.Width ~ Species, data = iris)
 #' linfct_factors_contrasts(m)
 linfct_factors_contrasts <- function(m){
@@ -664,12 +689,12 @@ linfct_factors_contrasts <- function(m){
 #' @keywords internal
 #' @examples
 #'
-#' mb <- prolfqua_data('data_basicModel_p1807')
+#' mb <- make_model( " ~ Treatment * Background")
 #' linfct <- linfct_from_model(mb)
 #' names(linfct)
 #' my_glht(mb, linfct$linfct_factors)
 #'
-#' m <- prolfqua_data('data_modellingResult_A')$modelProtein$linear_model[[1]]
+#' m <-  make_model( " ~ Treatment + Background")
 #' linfct <- linfct_from_model(m)$linfct_factors
 #' my_glht(m, linfct)
 #'
@@ -723,7 +748,7 @@ my_glht <- function(model, linfct , sep = TRUE ) {
 #' @keywords internal
 #' @examples
 #'
-#' m <- prolfqua_data('data_modellingResult_A')$modelProtein$linear_model[[1]]
+#' m <-  make_model( " ~ Treatment + Background")
 #' linfct <- linfct_from_model(m)$linfct_factors
 #' my_glht(m, linfct)
 #' my_contrast(m, linfct, confint = 0.95)
@@ -781,9 +806,8 @@ my_contrast <- function(m,
 #' @family modelling
 #' @keywords internal
 #' @examples
-#' m <- prolfqua_data('data_modellingResult_A')$modelProtein$linear_model[[1]]
+#' m <- make_model( " ~ Treatment + Background")
 #' linfct <- linfct_from_model(m)$linfct_factors
-#' m
 #' my_contrast_V1(m, linfct, confint = 0.95)
 #' my_contrast_V1(m, linfct, confint = 0.99)
 my_contrast_V1 <- function(incomplete, linfct, confint = 0.95){
@@ -810,7 +834,7 @@ my_contrast_V1 <- function(incomplete, linfct, confint = 0.95){
 #' @family modelling
 #' @keywords internal
 #' @examples
-#' m <- prolfqua_data('data_modellingResult_A')$modelProtein$linear_model[[1]]
+#' m <- make_model( " ~ Treatment + Background")
 #' linfct <- linfct_from_model(m)$linfct_factors
 #' my_contrast_V2(m, linfct, confint = 0.95)
 #' my_contrast_V2(m, linfct, confint = 0.99)
diff --git a/man/linfct_all_possible_contrasts.Rd b/man/linfct_all_possible_contrasts.Rd
index 23dc9c5be..1d8fc0ed0 100644
--- a/man/linfct_all_possible_contrasts.Rd
+++ b/man/linfct_all_possible_contrasts.Rd
@@ -10,10 +10,8 @@ linfct_all_possible_contrasts(lin_int)
 create all possible contrasts
 }
 \examples{
-m <- prolfqua_data('data_basicModel_p1807')
-m
+m <- make_model( " ~ Treatment * Background")
 linfct <- linfct_from_model(m)
-
 xl <- prolfqua::linfct_all_possible_contrasts(linfct$linfct_factors)
 xx <- prolfqua::linfct_all_possible_contrasts(linfct$linfct_interactions)
 
diff --git a/man/linfct_factors_contrasts.Rd b/man/linfct_factors_contrasts.Rd
index 8bd14b796..6a2bcae62 100644
--- a/man/linfct_factors_contrasts.Rd
+++ b/man/linfct_factors_contrasts.Rd
@@ -11,9 +11,8 @@ create contrasts between factor levels
 }
 \examples{
 
-m <- prolfqua_data('data_basicModel_p1807')
+m <- make_model( " ~ Treatment * Background")
 xl <- linfct_factors_contrasts(m)
-xl
 m <- lm(Petal.Width ~ Species, data = iris)
 linfct_factors_contrasts(m)
 }
diff --git a/man/linfct_matrix_contrasts.Rd b/man/linfct_matrix_contrasts.Rd
index 98846e10c..602bcc3c4 100644
--- a/man/linfct_matrix_contrasts.Rd
+++ b/man/linfct_matrix_contrasts.Rd
@@ -17,14 +17,27 @@ linfct_matrix_contrasts(linfct, contrasts, p.message = FALSE)
 linfct_matrix_contrasts
 }
 \examples{
-m <- prolfqua_data('data_basicModel_p1807')
-linfct <- linfct_from_model(m,as_list = FALSE)
-linfct
 
-Contrasts <- c("CMPvsMEP - HSC" = "`CelltypeCMP/MEP` - `CelltypeHSC`",
-"NOvsHU" = "`class_therapyc.NO:CelltypeCMP/MEP` - `class_therapyp.HU:CelltypeCMP/MEP`")
-linfct_matrix_contrasts(linfct, Contrasts )
+m <- make_model( " ~ Treatment + Background")
+Contr <- c("TreatmentA_vs_B" = "TreatmentA - TreatmentB",
+    "BackgroundX_vs_Z" = "BackgroundX - BackgroundZ",
+    "IntoflintoA" = "`TreatmentA:BackgroundX` - `TreatmentA:BackgroundZ`",
+    "IntoflintoB" = "`TreatmentB:BackgroundX` - `TreatmentB:BackgroundZ`",
+    "IntoflintoX" = "`TreatmentA:BackgroundX` - `TreatmentB:BackgroundX`",
+    "IntoflintoZ" = "`TreatmentA:BackgroundZ` - `TreatmentB:BackgroundZ`",
+    "interactXZ" = "IntoflintoX - IntoflintoZ",
+    "interactAB" = "IntoflintoA - IntoflintoB"
+     )
+linfct <- linfct_from_model(m, as_list = FALSE)
+x<- linfct_matrix_contrasts(linfct, Contr )
+stopifnot(sum(x["interactXZ",]) ==0 )
+stopifnot(sum(x["interactAB",]) ==0 )
 
+m <- make_model( " ~ Treatment * Background")
+linfct <- linfct_from_model(m, as_list = FALSE)
+x<- linfct_matrix_contrasts(linfct, Contr )
+stopifnot(sum(x["interactXZ",]) ==1 )
+stopifnot(sum(x["interactAB",]) ==1 )
 }
 \seealso{
 Other modelling: 
diff --git a/man/make_model.Rd b/man/make_model.Rd
new file mode 100644
index 000000000..5aceb5705
--- /dev/null
+++ b/man/make_model.Rd
@@ -0,0 +1,11 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/tidyMS_R6_Modelling.R
+\name{make_model}
+\alias{make_model}
+\title{make interaction model for examples}
+\usage{
+make_model(model = " ~ Treatment * Background")
+}
+\description{
+make interaction model for examples
+}
diff --git a/man/my_contrast.Rd b/man/my_contrast.Rd
index dcedfa6db..29e651ad3 100644
--- a/man/my_contrast.Rd
+++ b/man/my_contrast.Rd
@@ -28,7 +28,7 @@ compute contrasts for full models
 }
 \examples{
 
-m <- prolfqua_data('data_modellingResult_A')$modelProtein$linear_model[[1]]
+m <-  make_model( " ~ Treatment + Background")
 linfct <- linfct_from_model(m)$linfct_factors
 my_glht(m, linfct)
 my_contrast(m, linfct, confint = 0.95)
diff --git a/man/my_contrast_V1.Rd b/man/my_contrast_V1.Rd
index 2474f5f1f..6afc61fbb 100644
--- a/man/my_contrast_V1.Rd
+++ b/man/my_contrast_V1.Rd
@@ -17,9 +17,8 @@ my_contrast_V1(incomplete, linfct, confint = 0.95)
 handles incomplete models by setting coefficients to 0
 }
 \examples{
-m <- prolfqua_data('data_modellingResult_A')$modelProtein$linear_model[[1]]
+m <- make_model( " ~ Treatment + Background")
 linfct <- linfct_from_model(m)$linfct_factors
-m
 my_contrast_V1(m, linfct, confint = 0.95)
 my_contrast_V1(m, linfct, confint = 0.99)
 }
diff --git a/man/my_contrast_V2.Rd b/man/my_contrast_V2.Rd
index 9aab56860..b67f48ff0 100644
--- a/man/my_contrast_V2.Rd
+++ b/man/my_contrast_V2.Rd
@@ -17,7 +17,7 @@ my_contrast_V2(m, linfct, confint = 0.95)
 only keeps non NA coefficients.
 }
 \examples{
-m <- prolfqua_data('data_modellingResult_A')$modelProtein$linear_model[[1]]
+m <- make_model( " ~ Treatment + Background")
 linfct <- linfct_from_model(m)$linfct_factors
 my_contrast_V2(m, linfct, confint = 0.95)
 my_contrast_V2(m, linfct, confint = 0.99)
diff --git a/man/my_glht.Rd b/man/my_glht.Rd
index e4e4c5cb4..bfb192d7d 100644
--- a/man/my_glht.Rd
+++ b/man/my_glht.Rd
@@ -11,12 +11,12 @@ apply multcomp::glht method to linfct
 }
 \examples{
 
-mb <- prolfqua_data('data_basicModel_p1807')
+mb <- make_model( " ~ Treatment * Background")
 linfct <- linfct_from_model(mb)
 names(linfct)
 my_glht(mb, linfct$linfct_factors)
 
-m <- prolfqua_data('data_modellingResult_A')$modelProtein$linear_model[[1]]
+m <-  make_model( " ~ Treatment + Background")
 linfct <- linfct_from_model(m)$linfct_factors
 my_glht(m, linfct)