diff --git a/R/TrainLayer.R b/R/TrainLayer.R
index 5efd220..1c1cf8a 100644
--- a/R/TrainLayer.R
+++ b/R/TrainLayer.R
@@ -5,14 +5,14 @@
 #'
 #' A training layer is structured as followed:
 #'
-#' * [Lrner]: It is set by the user to be trained on the training data.
-#' * [TrainData]: It is set by the user to be used to train the learner.
-#' * [Model]: The result of training the learner on the training data, and therefore, not set by the user.
-#' * [TestData]: It is set by the user implements new data to be predicted.
+#' * [TrainData]: Data to be used to train the learner.
+#' * [Lrner]: Includes a learning function and the package implementing the function.
+#' * [Model]: The result of training the learner on the training data.
+#' * [VarSel]: Includes a variable selection function and the package implementing the function.
 #'
-#' A layer can train its learner on its training data and store the resulting model. See the public function \code{Layer$train()} below.
+#' A training layer can train its learner on its training data and store the resulting model. See the public function \code{Layer$train()} below.
 #'
-#' A layer can make predictions for a new layer passed as argument to its predict function. See the public function \code{Layer$predict()} below.
+#' A training layer can make predictions for a new layer passed as argument to its predict function. See the public function \code{Layer$predict()} below.
 #'
 #' @export
 #' @importFrom R6 R6Class
diff --git a/R/createTesting.R b/R/createTesting.R
index ac65767..63c2f28 100644
--- a/R/createTesting.R
+++ b/R/createTesting.R
@@ -1,4 +1,6 @@
-#' @title Creates a [Testing] object.
+#' @title createTesting
+#' @description
+#' Creates a [Testing] object.
 #'
 #' @param id (`character(1)`) \cr
 #' Testing id.
@@ -17,7 +19,9 @@ createTesting = function (id,
 }
 
 
-#' @title Creates and store a [TestLayer] on the [Testing] object passed as argument.
+#' @title createTestLayer
+#' @description
+#' Creates and store a [TestLayer] on the [Testing] object passed as argument.
 #'
 #' @param testing (`Testing(1)`) \cr
 #' Testing object where the created layer will be stored.
diff --git a/R/createTraining.R b/R/createTraining.R
index d0a94a8..5dd1beb 100644
--- a/R/createTraining.R
+++ b/R/createTraining.R
@@ -1,4 +1,6 @@
-#' @title Creates a [Training] object.
+#' @title createTraining
+#' @description
+#' Creates a [Training] object.
 #'
 #' @param id (`character(1)`) \cr
 #' @param ind_col (`character(1)`) \cr
@@ -31,8 +33,9 @@ createTraining = function (id,
   return(training)
 }
 
-
-#' @title Creates and store a [TrainLayer] on the [Training] object passed as argument.
+#' @title createTrainLayer
+#' @description
+#' Creates and store a [TrainLayer] on the [Training] object passed as argument.
 #'
 #' @param training (`Training(1)`) \cr
 #' Training object where the created layer will be stored.
@@ -102,7 +105,9 @@ createTrainLayer = function (training,
 
 
 
-#' @title Creates and store a [TrainMetaLayer] on the [Training] object passed as argument.
+#' @title createTrainMetaLayer
+#' @description
+#' Creates and store a [TrainMetaLayer] on the [Training] object passed as argument.
 #'
 #' @param training (`Training(1)`) \cr
 #' Training object where the created layer will be stored.
@@ -146,7 +151,9 @@ createTrainMetaLayer = function (training,
   return(training)
 }
 
-#' @title Variable selection on the current training object.
+#' @title varSelection
+#' @description
+#' Variable selection on the current training object.
 #'
 #' @param training (`Training(1)`) \cr
 #' Training object where the created layer will be stored.
@@ -166,7 +173,9 @@ varSelection = function (training,
   return(selected)
 }
 
-#' @title Trains the [Training] object passed as argument. All leaners and the meta learner are trained.
+#' @title fusemlr
+#' @description
+#' Trains the [Training] object passed as argument. All leaners and the meta learner are trained.
 #'
 #' @param training (`Training(1)`) \cr
 #' Training object where the created layer will be stored.
@@ -201,7 +210,9 @@ fusemlr = function (training,
 
 
 
-#' @title Computes predictions for the [Testing] object passed as argument.
+#' @title predict.Training
+#' @description
+#' Computes predictions for the [Testing] object passed as argument.
 #'
 #' @param object (`Training(1)`) \cr
 #' Training object to be used to compute predictions.
@@ -221,7 +232,9 @@ predict.Training = function (object,
   return(predictions)
 }
 
-#' @title An upset plot of overlapping individuals.
+#' @title upsetplot
+#' @description
+#' An upset plot of overlapping individuals.
 #'
 #' @param object (`Training(1) or Testing(1)`) \cr
 #' Training or testing object for each the upset plot will be created.
diff --git a/man/TrainLayer.Rd b/man/TrainLayer.Rd
index 29af144..b6e19c7 100644
--- a/man/TrainLayer.Rd
+++ b/man/TrainLayer.Rd
@@ -8,15 +8,15 @@ This class implements a traning layer. A \link{TrainLayer} object can only exist
 
 A training layer is structured as followed:
 \itemize{
-\item \link{Lrner}: It is set by the user to be trained on the training data.
-\item \link{TrainData}: It is set by the user to be used to train the learner.
-\item \link{Model}: The result of training the learner on the training data, and therefore, not set by the user.
-\item \link{TestData}: It is set by the user implements new data to be predicted.
+\item \link{TrainData}: Data to be used to train the learner.
+\item \link{Lrner}: Includes a learning function and the package implementing the function.
+\item \link{Model}: The result of training the learner on the training data.
+\item \link{VarSel}: Includes a variable selection function and the package implementing the function.
 }
 
-A layer can train its learner on its training data and store the resulting model. See the public function \code{Layer$train()} below.
+A training layer can train its learner on its training data and store the resulting model. See the public function \code{Layer$train()} below.
 
-A layer can make predictions for a new layer passed as argument to its predict function. See the public function \code{Layer$predict()} below.
+A training layer can make predictions for a new layer passed as argument to its predict function. See the public function \code{Layer$predict()} below.
 }
 \seealso{
 \link{Training}, \link{Lrner}, \link{TrainData}, \link{TestData} and \link{Model}
diff --git a/man/createTestLayer.Rd b/man/createTestLayer.Rd
index 14b37f9..b7c2744 100644
--- a/man/createTestLayer.Rd
+++ b/man/createTestLayer.Rd
@@ -2,7 +2,7 @@
 % Please edit documentation in R/createTesting.R
 \name{createTestLayer}
 \alias{createTestLayer}
-\title{Creates and store a \link{TestLayer} on the \link{Testing} object passed as argument.}
+\title{createTestLayer}
 \usage{
 createTestLayer(testing, test_layer_id, test_data)
 }
diff --git a/man/createTesting.Rd b/man/createTesting.Rd
index 9560137..b0f5f6f 100644
--- a/man/createTesting.Rd
+++ b/man/createTesting.Rd
@@ -2,7 +2,7 @@
 % Please edit documentation in R/createTesting.R
 \name{createTesting}
 \alias{createTesting}
-\title{Creates a \link{Testing} object.}
+\title{createTesting}
 \usage{
 createTesting(id, ind_col)
 }
diff --git a/man/createTrainLayer.Rd b/man/createTrainLayer.Rd
index 4e8d3e5..f00fef7 100644
--- a/man/createTrainLayer.Rd
+++ b/man/createTrainLayer.Rd
@@ -2,7 +2,7 @@
 % Please edit documentation in R/createTraining.R
 \name{createTrainLayer}
 \alias{createTrainLayer}
-\title{Creates and store a \link{TrainLayer} on the \link{Training} object passed as argument.}
+\title{createTrainLayer}
 \usage{
 createTrainLayer(
   training,
diff --git a/man/createTrainMetaLayer.Rd b/man/createTrainMetaLayer.Rd
index 8f20cee..dcbfa66 100644
--- a/man/createTrainMetaLayer.Rd
+++ b/man/createTrainMetaLayer.Rd
@@ -2,7 +2,7 @@
 % Please edit documentation in R/createTraining.R
 \name{createTrainMetaLayer}
 \alias{createTrainMetaLayer}
-\title{Creates and store a \link{TrainMetaLayer} on the \link{Training} object passed as argument.}
+\title{createTrainMetaLayer}
 \usage{
 createTrainMetaLayer(
   training,
diff --git a/man/createTraining.Rd b/man/createTraining.Rd
index 4f66b00..a64a1a7 100644
--- a/man/createTraining.Rd
+++ b/man/createTraining.Rd
@@ -2,7 +2,7 @@
 % Please edit documentation in R/createTraining.R
 \name{createTraining}
 \alias{createTraining}
-\title{Creates a \link{Training} object.}
+\title{createTraining}
 \usage{
 createTraining(
   id,
diff --git a/man/fusemlr.Rd b/man/fusemlr.Rd
index e634dd7..54053df 100644
--- a/man/fusemlr.Rd
+++ b/man/fusemlr.Rd
@@ -2,7 +2,7 @@
 % Please edit documentation in R/createTraining.R
 \name{fusemlr}
 \alias{fusemlr}
-\title{Trains the \link{Training} object passed as argument. All leaners and the meta learner are trained.}
+\title{fusemlr}
 \usage{
 fusemlr(
   training,
diff --git a/man/predict.Training.Rd b/man/predict.Training.Rd
index 319d90f..1ef2e2d 100644
--- a/man/predict.Training.Rd
+++ b/man/predict.Training.Rd
@@ -2,7 +2,7 @@
 % Please edit documentation in R/createTraining.R
 \name{predict.Training}
 \alias{predict.Training}
-\title{Computes predictions for the \link{Testing} object passed as argument.}
+\title{predict.Training}
 \usage{
 \method{predict}{Training}(object, testing, ind_subset = NULL)
 }
diff --git a/man/upsetplot.Rd b/man/upsetplot.Rd
index b9936e0..1f6544b 100644
--- a/man/upsetplot.Rd
+++ b/man/upsetplot.Rd
@@ -2,7 +2,7 @@
 % Please edit documentation in R/createTraining.R
 \name{upsetplot}
 \alias{upsetplot}
-\title{An upset plot of overlapping individuals.}
+\title{upsetplot}
 \usage{
 upsetplot(object, ...)
 }
diff --git a/man/varSelection.Rd b/man/varSelection.Rd
index 086b3bf..da37028 100644
--- a/man/varSelection.Rd
+++ b/man/varSelection.Rd
@@ -2,7 +2,7 @@
 % Please edit documentation in R/createTraining.R
 \name{varSelection}
 \alias{varSelection}
-\title{Variable selection on the current training object.}
+\title{varSelection}
 \usage{
 varSelection(training, ind_subset = NULL, verbose = TRUE)
 }