diff --git a/Project.toml b/Project.toml
index 040657bde..8a4dd433e 100644
--- a/Project.toml
+++ b/Project.toml
@@ -8,7 +8,6 @@ CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
 ComputationalResources = "ed09eef8-17a6-5b46-8889-db040fac31e3"
 Distributed = "8ba89e20-285c-5b6f-9357-94700520ee1b"
 Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
-EvoLinear = "ab853011-1780-437f-b4b5-5de6f4777246"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 MLJBalancing = "45f359ea-796d-4f51-95a5-deb1a414c586"
 MLJBase = "a7f614a8-145f-11e9-1d2a-a57a1082229d"
@@ -55,6 +54,7 @@ julia = "1.6"
 [extras]
 BetaML = "024491cd-cc6b-443e-8034-08ea7eb7db2b"
 CatBoost = "e2e10f9a-a85d-4fa9-b6b2-639a32100a12"
+EvoLinear = "ab853011-1780-437f-b4b5-5de6f4777246"
 EvoTrees = "f6006082-12f8-11e9-0c9c-0d5d367ab1e5"
 Imbalance = "c709b415-507b-45b7-9a3d-1767c89fde68"
 InteractiveUtils = "b77e0a4c-d291-57a0-90e8-8db25a27a240"
@@ -87,5 +87,5 @@ StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [targets]
-test = ["BetaML", "CatBoost", "EvoTrees", "Imbalance", "InteractiveUtils", "LightGBM", "MLJClusteringInterface", "MLJDecisionTreeInterface", "MLJFlux", "MLJGLMInterface", "MLJLIBSVMInterface", "MLJLinearModels", "MLJMultivariateStatsInterface", "MLJNaiveBayesInterface", "MLJScikitLearnInterface", "MLJTSVDInterface", "MLJTestInterface", "MLJTestIntegration", "MLJText", "MLJXGBoostInterface", "Markdown", "NearestNeighborModels", "OneRule", "OutlierDetectionNeighbors", "OutlierDetectionPython", "ParallelKMeans", "PartialLeastSquaresRegressor", "SelfOrganizingMaps", "SIRUS", "SymbolicRegression", "StableRNGs", "Test"] 
+test = ["BetaML", "CatBoost", "EvoLinear", "EvoTrees", "Imbalance", "InteractiveUtils", "LightGBM", "MLJClusteringInterface", "MLJDecisionTreeInterface", "MLJFlux", "MLJGLMInterface", "MLJLIBSVMInterface", "MLJLinearModels", "MLJMultivariateStatsInterface", "MLJNaiveBayesInterface", "MLJScikitLearnInterface", "MLJTSVDInterface", "MLJTestInterface", "MLJTestIntegration", "MLJText", "MLJXGBoostInterface", "Markdown", "NearestNeighborModels", "OneRule", "OutlierDetectionNeighbors", "OutlierDetectionPython", "ParallelKMeans", "PartialLeastSquaresRegressor", "SelfOrganizingMaps", "SIRUS", "SymbolicRegression", "StableRNGs", "Test"]