diff --git a/README.md b/README.md
index 778cab1..932db47 100644
--- a/README.md
+++ b/README.md
@@ -18,6 +18,8 @@ reComBat is a PyPI package which can be installed via `pip`:
 pip install reComBat
 ```
 
+The project supports Python 3.10 through Python 3.13.
+
 You can also clone the repository and install it locally via [Poetry](https://python-poetry.org/) by executing
 ```bash
 poetry install
diff --git a/poetry.lock b/poetry.lock
index 3ee8e9e..d4922f9 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,312 +1,921 @@
+# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand.
+
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 [package.dependencies]
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+[[package]]
+name = "typing-extensions"
+version = "4.15.0"
+description = "Backported and Experimental Type Hints for Python 3.9+"
+optional = false
+python-versions = ">=3.9"
+groups = ["dev"]
+markers = "python_version == \"3.10\""
+files = [
+    {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"},
+    {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"},
 ]
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+
+[[package]]
+name = "tzdata"
+version = "2025.3"
+description = "Provider of IANA time zone data"
+optional = false
+python-versions = ">=2"
+groups = ["main"]
+markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or python_version == \"3.10\""
+files = [
+    {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"},
+    {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"},
 ]
+
+[metadata]
+lock-version = "2.1"
+python-versions = ">=3.10,<3.14"
+content-hash = "1bfa88fdfb52dd77fb98d935fc6640c927dba277fabf401c682b8dab75736b8b"
diff --git a/pyproject.toml b/pyproject.toml
index 5925b71..d4d1989 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -17,14 +17,16 @@ include = ["LICENSE"]
 packages = [{ include="reComBat", from="." }]
 
 [tool.poetry.dependencies]
-python = ">=3.8,<3.11"
-numpy = "^1.20.0"
-sklearn = "^0.0"
-tqdm = "^4.62.3"
-fire = "^0.4.0"
-pandas = "^1.3.4"
-
-[tool.poetry.dev-dependencies]
+python = ">=3.10,<3.14"
+numpy = ">=2.2.3,<3.0"
+scikit-learn = ">=1.5.2,<2.0"
+joblib = ">=1.4.2,<2.0"
+tqdm = ">=4.62.3,<5.0"
+fire = ">=0.7.1,<1.0"
+pandas = ">=2.2.3,<4.0"
+
+[tool.poetry.group.dev.dependencies]
+pytest = ">=8.3.5,<9.0"
 
 [tool.poetry.scripts]
 reComBat = "reComBat.cli:main"
diff --git a/reComBat/__init__.py b/reComBat/__init__.py
index f83aa38..21ae7f9 100644
--- a/reComBat/__init__.py
+++ b/reComBat/__init__.py
@@ -1,4 +1,4 @@
 # from __future__ import absolute_import
 from .reComBat import reComBat
 
-__version__ = '0.1.0'
+__version__ = "0.1.4"
diff --git a/reComBat/cli.py b/reComBat/cli.py
index 1823280..9795717 100644
--- a/reComBat/cli.py
+++ b/reComBat/cli.py
@@ -49,7 +49,7 @@ def run_recombat(data_file,
 
     # Read in the data and batch files.
     data = pd.read_csv(os.path.join(data_path,data_file),index_col=0)
-    batch = pd.read_csv(os.path.join(data_path,batch_file),index_col=0,squeeze=True)
+    batch = pd.read_csv(os.path.join(data_path,batch_file),index_col=0).squeeze("columns")
 
     # Read in potential design matrices.
     if X_file is not None:
diff --git a/tests/test_python313_compat.py b/tests/test_python313_compat.py
new file mode 100644
index 0000000..ceee874
--- /dev/null
+++ b/tests/test_python313_compat.py
@@ -0,0 +1,60 @@
+import pandas as pd
+
+from reComBat import reComBat
+from reComBat.cli import run_recombat
+
+
+def test_fit_transform_smoke():
+    data = pd.DataFrame(
+        [
+            [1.0, 2.0, 3.0, 4.0],
+            [1.2, 2.5, 2.8, 4.5],
+            [0.8, 1.7, 3.5, 3.7],
+            [9.5, 10.5, 12.0, 13.5],
+            [10.4, 11.2, 11.4, 12.8],
+            [8.9, 10.9, 12.6, 13.1],
+        ],
+        index=["s1", "s2", "s3", "s4", "s5", "s6"],
+        columns=["g1", "g2", "g3", "g4"],
+    )
+    batches = pd.Series(["a", "a", "a", "b", "b", "b"], index=data.index, name="batch")
+
+    adjusted = reComBat(verbose=False).fit_transform(data, batches)
+
+    assert isinstance(adjusted, pd.DataFrame)
+    assert adjusted.shape == data.shape
+    assert adjusted.index.equals(data.index)
+    assert adjusted.columns.equals(data.columns)
+
+
+def test_cli_reads_batch_series_and_writes_output(tmp_path):
+    data = pd.DataFrame(
+        [
+            [1.0, 2.0, 3.0, 4.0],
+            [1.2, 2.5, 2.8, 4.5],
+            [0.8, 1.7, 3.5, 3.7],
+            [9.5, 10.5, 12.0, 13.5],
+            [10.4, 11.2, 11.4, 12.8],
+            [8.9, 10.9, 12.6, 13.1],
+        ],
+        index=["s1", "s2", "s3", "s4", "s5", "s6"],
+        columns=["g1", "g2", "g3", "g4"],
+    )
+    batches = pd.Series(["a", "a", "a", "b", "b", "b"], index=data.index, name="batch")
+
+    data.to_csv(tmp_path / "data.csv")
+    batches.to_frame().to_csv(tmp_path / "batches.csv")
+
+    run_recombat(
+        data_file="data.csv",
+        batch_file="batches.csv",
+        data_path=tmp_path,
+        out_path=tmp_path,
+        out_file="adjusted.csv",
+        verbose=False,
+    )
+
+    adjusted = pd.read_csv(tmp_path / "adjusted.csv", index_col=0)
+
+    assert adjusted.shape == data.shape
+    assert list(adjusted.columns) == list(data.columns)