diff --git a/DESCRIPTION b/DESCRIPTION
index 5f60e19..c4c7141 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -10,7 +10,10 @@ Authors@R: c(person("Thomas J.", "Leeper",
                     email = "thosjleeper@gmail.com",
                     comment = c(ORCID = "0000-0003-4097-6326")),
              person("Carl", "Ganz", role = "ctb",
-                    email = "carlganz@ucla.edu")
+                    email = "carlganz@ucla.edu"),
+             person("Vincent", "Arel-Bundock", role = "ctb",
+                    email = "vincent.arel-bundock@umontreal.ca",
+                    comment = c(ORCID = "0000-0003-2042-7063"))
             )
 URL: https://github.com/leeper/prediction
 BugReports: https://github.com/leeper/prediction/issues
diff --git a/NEWS.md b/NEWS.md
index da851b5..2bc7259 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,3 +1,7 @@
+# prediction 0.3.13
+
+* Fixed a bug in `prediction_glm` with the `data` argument (Issue #32).
+
 # prediction 0.3.12
 
 * Remove mnlogit dependency, as it has been removed from CRAN.
diff --git a/R/prediction_glm.R b/R/prediction_glm.R
index d268169..5e00ffa 100644
--- a/R/prediction_glm.R
+++ b/R/prediction_glm.R
@@ -51,7 +51,7 @@ function(model,
             if (type == "link") {
                 means_for_prediction <- colMeans(model_mat)
             } else if (type == "response") {
-                predictions_link <- predict(model, data = data, type = "link", se.fit = FALSE, ...)
+                predictions_link <- predict(model, newdata = data, type = "link", se.fit = FALSE, ...)
                 means_for_prediction <- colMeans(model$family$mu.eta(predictions_link) * model_mat)
             }
             J <- matrix(means_for_prediction, nrow = 1L)
@@ -64,7 +64,7 @@ function(model,
                 if (type == "link") {
                     means_for_prediction <- colMeans(model_mat)
                 } else if (type == "response") {
-                    predictions_link <- predict(model, data = one, type = "link", se.fit = FALSE, ...)
+                    predictions_link <- predict(model, newdata = one, type = "link", se.fit = FALSE, ...)
                     means_for_prediction <- colMeans(model$family$mu.eta(predictions_link) * model_mat)
                 }
                 means_for_prediction
diff --git a/tests/testthat/tests-core.R b/tests/testthat/tests-core.R
index d86e75b..3615308 100644
--- a/tests/testthat/tests-core.R
+++ b/tests/testthat/tests-core.R
@@ -19,6 +19,16 @@ test_that("Test prediction()", {
                 label = "prediction() matches predict() (GLM)")
 })
 
+test_that("Test prediction(data = )", {
+    m <- lm(mpg ~ cyl + wt, data = mtcars)
+    p1 <- prediction(m, data = data.frame(cyl = 4, wt = 3.9))
+    expect_true(inherits(p1, "data.frame"), label = "prediction(lm(~), data = data.frame()) works")
+
+    m <- glm(mpg ~ cyl + wt, data = mtcars)
+    p1 <- prediction(m, data = data.frame(cyl = 4, wt = 3.9))
+    expect_true(inherits(p1, "data.frame"), label = "prediction(glm(~), data = data.frame()) works")
+})
+
 test_that("Test prediction(at = )", {
     m <- lm(mpg ~ cyl, data = mtcars)
     p1 <- prediction(m, at = list(cyl = 4))