diff --git a/DESCRIPTION b/DESCRIPTION
index 555ee01f..99b97863 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -64,4 +64,4 @@ Config/testthat/edition: 3
 Config/testthat/parallel: true
 Encoding: UTF-8
 Roxygen: list(markdown = TRUE, r6 = TRUE)
-RoxygenNote: 7.3.1
+RoxygenNote: 7.3.2
diff --git a/R/Shapley.R b/R/Shapley.R
index 8c7a182c..6dac1579 100644
--- a/R/Shapley.R
+++ b/R/Shapley.R
@@ -75,6 +75,7 @@ Shapley <- R6Class("Shapley",
     #'   [data.frame] with the Shapley values (phi) per feature.
     initialize = function(predictor, x.interest = NULL, sample.size = 100) {
       checkmate::assert_data_frame(x.interest, null.ok = TRUE)
+      x.interest = as.data.frame(x.interest)
       super$initialize(predictor = predictor)
       x.interest <- x.interest[setdiff(colnames(x.interest), predictor$data$y.names)]
       self$sample.size <- sample.size
diff --git a/man/calculate.ale.cat.Rd b/man/calculate.ale.cat.Rd
index 556e8d1c..c681a5a6 100644
--- a/man/calculate.ale.cat.Rd
+++ b/man/calculate.ale.cat.Rd
@@ -4,7 +4,7 @@
 \alias{calculate.ale.cat}
 \title{Compute ALE for 1 categorical feature}
 \usage{
-\method{calculate}{ale.cat}(dat, run.prediction, feature.name)
+calculate.ale.cat(dat, run.prediction, feature.name)
 }
 \arguments{
 \item{dat}{the data.frame with same columns as training data}
diff --git a/man/calculate.ale.num.Rd b/man/calculate.ale.num.Rd
index 951bf6d1..5cc36887 100644
--- a/man/calculate.ale.num.Rd
+++ b/man/calculate.ale.num.Rd
@@ -4,7 +4,7 @@
 \alias{calculate.ale.num}
 \title{Compute ALE for 1 numerical feature}
 \usage{
-\method{calculate}{ale.num}(dat, run.prediction, feature.name, grid.dt)
+calculate.ale.num(dat, run.prediction, feature.name, grid.dt)
 }
 \arguments{
 \item{dat}{the data.frame with same columns as training data}
diff --git a/man/calculate.ale.num.cat.Rd b/man/calculate.ale.num.cat.Rd
index 109f4cec..c79e3092 100644
--- a/man/calculate.ale.num.cat.Rd
+++ b/man/calculate.ale.num.cat.Rd
@@ -4,7 +4,7 @@
 \alias{calculate.ale.num.cat}
 \title{Compute ALE for 2 features, one numerical, one categorical}
 \usage{
-\method{calculate}{ale.num.cat}(dat, run.prediction, feature.name, grid.dt)
+calculate.ale.num.cat(dat, run.prediction, feature.name, grid.dt)
 }
 \arguments{
 \item{dat}{the data.frame with same columns as training data}
diff --git a/man/calculate.ale.num.num.Rd b/man/calculate.ale.num.num.Rd
index e93374ec..389bf0e3 100644
--- a/man/calculate.ale.num.num.Rd
+++ b/man/calculate.ale.num.num.Rd
@@ -4,7 +4,7 @@
 \alias{calculate.ale.num.num}
 \title{Compute ALE for 2 numerical features}
 \usage{
-\method{calculate}{ale.num.num}(dat, run.prediction, feature.name, grid.dt1, grid.dt2)
+calculate.ale.num.num(dat, run.prediction, feature.name, grid.dt1, grid.dt2)
 }
 \arguments{
 \item{dat}{the data.frame with same columns as training data}
diff --git a/man/extract.glmnet.effects.Rd b/man/extract.glmnet.effects.Rd
index 505e66ce..68c506f3 100644
--- a/man/extract.glmnet.effects.Rd
+++ b/man/extract.glmnet.effects.Rd
@@ -4,7 +4,7 @@
 \alias{extract.glmnet.effects}
 \title{Extract glmnet effects}
 \usage{
-\method{extract}{glmnet.effects}(betas, best.index, x.recoded, x.original)
+extract.glmnet.effects(betas, best.index, x.recoded, x.original)
 }
 \arguments{
 \item{betas}{glmnet$beta}