diff --git a/pkg/caret/tests/testthat/test_misc.R b/pkg/caret/tests/testthat/test_misc.R
index f5bcddd4..13d7548b 100644
--- a/pkg/caret/tests/testthat/test_misc.R
+++ b/pkg/caret/tests/testthat/test_misc.R
@@ -14,6 +14,9 @@ test_that("R2 and RMSE are calculating correctly", {
 
 
 test_that("auc calculation is > .5 when Xs provide prediction", {
+  skip_if_not_installed("MLmetrics")
+  skip_if_not_installed("earth")
+  skip_if_not_installed("mda")
 
   trCntlListMulti  <-
     trainControl(
diff --git a/pkg/caret/tests/testthat/test_multiclassSummary.R b/pkg/caret/tests/testthat/test_multiclassSummary.R
index f79f2653..81bfb519 100644
--- a/pkg/caret/tests/testthat/test_multiclassSummary.R
+++ b/pkg/caret/tests/testthat/test_multiclassSummary.R
@@ -1,6 +1,7 @@
 context('multiClassSummary')
 
 test_that("multiClassSummary presenting warnings from train", {
+  skip_if_not_installed("MLmetrics")
   skip_if_not_installed("ModelMetrics", "1.2.2.2")
   library(caret)
   N = 1000
@@ -38,6 +39,7 @@ test_that("multiClassSummary presenting warnings from train", {
 })
 
 test_that("multiClassSummary ROC values", {
+  skip_if_not_installed("MLmetrics")
 
   lvls <- levels(iris$Species)
   set.seed(46337)
diff --git a/pkg/caret/tests/testthat/test_preProcess_methods.R b/pkg/caret/tests/testthat/test_preProcess_methods.R
index 4479e25f..9d7036a0 100644
--- a/pkg/caret/tests/testthat/test_preProcess_methods.R
+++ b/pkg/caret/tests/testthat/test_preProcess_methods.R
@@ -1,8 +1,3 @@
-library(caret)
-library(fastICA)
-library(testthat)
-library(MASS)
-
 context('preProcess/methods')
 
 ###################################################################
@@ -186,6 +181,7 @@ test_that('issue #825 for pca threshold choice', {
 ## test ica
 
 test_that('ICA trans', {
+  skip_if_not_installed("fastICA")
   skip_on_cran()
   set.seed(1)
   ica_dat1 <- twoClassSim(30)[, 1:5]
@@ -202,8 +198,7 @@ test_that('ICA trans', {
     ica_dat2_scaled[,i] <- (ica_dat2_scaled[,i]-ica_dat1_means[i])/ica_dat1_sds[i]
 
   set.seed(1)
-  ic_obj <- fastICA(scale(ica_dat1, center = TRUE, scale = TRUE),
-                    n.comp = 3)
+  ic_obj <- fastICA::fastICA(scale(ica_dat1, center = TRUE, scale = TRUE), n.comp = 3)
   ica_dat2_exp <- as.matrix(ica_dat2_scaled) %*% ic_obj$K %*% ic_obj$W
   colnames(ica_dat2_exp) <- paste("ICA", 1:ncol(ic_obj$W), sep = "")
   expect_equal(as.data.frame(ica_dat2_exp, stringsAsFactors = TRUE), ica_dat2_ica, tolerance = .00001)
diff --git a/pkg/caret/tests/testthat/test_recipe_upsample.R b/pkg/caret/tests/testthat/test_recipe_upsample.R
index 7b5218e0..452f1c50 100644
--- a/pkg/caret/tests/testthat/test_recipe_upsample.R
+++ b/pkg/caret/tests/testthat/test_recipe_upsample.R
@@ -1,23 +1,14 @@
-
-library(testthat)
-library(caret)
-library(themis)
-
 context('upsampling with recipes')
 
-# ------------------------------------------------------------------------------
-
-set.seed(2542)
-dat <- twoClassSim(200, intercept = 6)
-
-# ------------------------------------------------------------------------------
-
-rec <-
-  recipe(Class ~ TwoFactor1 + TwoFactor2 + Linear01, data = dat) %>%
-  themis::step_upsample(Class, seed = 534)
+test_that("model test", {
+  skip_if_not_installed("themis")
+  withr::local_seed(2542)
+  dat <- twoClassSim(200, intercept = 6)
 
+  rec <-
+    recipe(Class ~ TwoFactor1 + TwoFactor2 + Linear01, data = dat) %>%
+    themis::step_upsample(Class, seed = 534)
 
-test_that("model test", {
   mod <- train(rec, dat, method = "knn", trControl = trainControl(method = "cv"))
   expect_equivalent(
     rep(max(table(dat$Class)), 2),