diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index c1d5528..ac041f2 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -3,62 +3,61 @@ name: CI
 on:
   workflow_call:
   push:
-    branches: [ "main" ]
+    branches: ["main"]
   pull_request:
-    branches: [ "main" ]
+    branches: ["main"]
 
 jobs:
   test:
     runs-on: ubuntu-latest
 
     steps:
-    - uses: actions/checkout@v4
-    - uses: prefix-dev/setup-pixi@v0.8.1
-      with:
-        environments: default
-        cache: true
+      - uses: actions/checkout@v4
+      - uses: prefix-dev/setup-pixi@v0.8.1
+        with:
+          environments: default
+          cache: true
 
-    - name: Re-install local
-      run: |
-        pixi run rebuild
-
-    - name: Lint with ruff
-      run: |
-        pixi run lint
-    - name: Lint with cython-lint
-      run: |
-        pixi run cython-lint
-    - name: Format with black
-      run: |
-        pixi run fmt
-    - name: Type check with mypy
-      run: |
-        pixi run type
-    - name: Test with pytest
-      run: |
-        pixi run test
-    - name: Test with doctest
-      shell: bash
-      run: |
-        pixi run doc
-        CMD=doctest pixi run doc
-    - name: Test coverage
-      shell: bash
-      run: |
-        FMT=xml pixi run test-coverage
-    - name: Upload coverage reports to Codecov
-      uses: codecov/codecov-action@v5
-      with:
-        token: ${{ secrets.CODECOV_TOKEN }}
-    - name: Build SDist
-      run: |
-        pixi run build-sdist
-    - name: Store artifacts
-      uses: actions/upload-artifact@v4
-      with:
-        name: cibw-sdist
-        path: dist/*.tar.gz
+      - name: Re-install local
+        run: |
+          pixi run rebuild
 
+      - name: Lint with ruff
+        run: |
+          pixi run lint
+      - name: Lint with cython-lint
+        run: |
+          pixi run cython-lint
+      - name: Format with black
+        run: |
+          pixi run fmt
+      - name: Type check with mypy
+        run: |
+          pixi run type
+      - name: Test with pytest
+        run: |
+          pixi run test
+      - name: Test with doctest
+        shell: bash
+        run: |
+          pixi run doc
+          CMD=doctest pixi run doc
+      - name: Test coverage
+        shell: bash
+        run: |
+          FMT=xml pixi run test-coverage
+      - name: Upload coverage reports to Codecov
+        uses: codecov/codecov-action@v5
+        with:
+          token: ${{ secrets.CODECOV_TOKEN }}
+      - name: Build SDist
+        run: |
+          pixi run build-sdist
+      - name: Store artifacts
+        uses: actions/upload-artifact@v4
+        with:
+          name: cibw-sdist
+          path: dist/*.tar.gz
 
   build:
     strategy:
@@ -68,13 +67,13 @@ jobs:
     runs-on: ${{ matrix.os }}
     needs: test
     steps:
-    - uses: actions/checkout@v4
-    - name: Build wheels
-      uses: pypa/cibuildwheel@v2.21.3
-      env:
+      - uses: actions/checkout@v4
+      - name: Build wheels
+        uses: pypa/cibuildwheel@v2.22.0
+        env:
           CIBW_BUILD: cp3*-*
           CIBW_SKIP: pp* *i686* *musllinux* *-macosx_universal2 *-manylinux_ppc64le *-manylinux_s390x
-          CIBW_PROJECT_REQUIRES_PYTHON: ">=3.9"
+          CIBW_PROJECT_REQUIRES_PYTHON: ">=3.10"
           CIBW_ARCHS_LINUX: auto64
           CIBW_ARCHS_MACOS: x86_64 arm64
           CIBW_ARCHS_WINDOWS: auto64
@@ -85,8 +84,12 @@ jobs:
           # otherwise Meson detects a MINGW64 platform and use MINGW64
           # toolchain
           CIBW_CONFIG_SETTINGS_WINDOWS: "setup-args=--vsenv"
-    - name: Upload package
-      uses: actions/upload-artifact@v4
-      with:
-        name: cibw-wheels-${{ matrix.os }}-${{ strategy.job-index }}
-        path: ./wheelhouse/*.whl
+          # Include free-threaded support
+          CIBW_ENABLE: cpython-freethreading
+          # Numpy, scipy, Cython only have free-threaded wheels on scientific-python-nightly-wheels
+          CIBW_BUILD_FRONTEND: 'pip; args: --pre --extra-index-url "https://pypi.anaconda.org/scientific-python-nightly-wheels/simple" --only-binary :all:'
+      - name: Upload package
+        uses: actions/upload-artifact@v4
+        with:
+          name: cibw-wheels-${{ matrix.os }}-${{ strategy.job-index }}
+          path: ./wheelhouse/*.whl
diff --git a/README.rst b/README.rst
index b83f2d8..c315e0d 100644
--- a/README.rst
+++ b/README.rst
@@ -73,13 +73,26 @@ array([1, 0], dtype=int32)
 array([0.91162413, 0.71089547])
 >>> # Here Feature 2 must be included
 >>> selector = FastCan(n_features_to_select=2, indices_include=[2], verbose=0).fit(X, y)
->>> # We can find the feature which is useful when working with Feature 2 
+>>> # We can find the feature which is useful when working with Feature 2
 >>> selector.indices_
 array([2, 0], dtype=int32)
 >>> selector.scores_
 array([0.34617598, 0.95815008])
 
 
+NARX Time Series Modelling
+--------------------------
+FastCan can be used for system identification.
+In particular, we provide a submodule `fastcan.narx` to build Nonlinear AutoRegressive eXogenous (NARX) models.
+For more information, check our `Home Page <https://fastcan.readthedocs.io/en/latest/?badge=latest>`_.
+
+
+Support Free-Threaded Wheels
+----------------------------
+FastCan has support for free-threaded (also known as nogil) CPython 3.13.
+For more information about free-threaded CPython, check `how to install a free-threaded CPython <https://py-free-threading.github.io/installing_cpython/>`_.
+
+
 Citation
 --------
 
diff --git a/pixi.lock b/pixi.lock
index b3cd3b2..447dda8 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -9,14 +9,251 @@ environments:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/black-24.10.0-py313h78bf25f_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.12.14-hbcca054_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/click-8.1.8-pyh707e725_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cython-3.0.11-py313hc66aa0d_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/joblib-1.4.2-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.43-h712a8e2_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-26_linux64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-26_linux64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.4-h5888daf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libffi-3.4.2-h7f98852_5.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-14.2.0-h77fa898_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-14.2.0-h69a702a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-14.2.0-h69a702a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-14.2.0-hd5240d6_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.2.0-h77fa898_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-26_linux64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.6.3-hb9d3cd8_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libmpdec-4.0.0-h4bc722e_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.28-pthreads_h94d23a6_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.47.2-hee588c1_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-14.2.0-hc0a3c3a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-14.2.0-h4852527_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.38.1-h0b41bf4_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/meson-1.6.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/meson-python-0.17.1-pyh70fd9c4_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-he02047a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ninja-1.12.1-h297d8ca_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.2.1-py313hb30382a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.4.0-h7b32b05_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.2-pyhd8ed1ab_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pyproject-metadata-0.9.0-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.13.1-ha99a958_102_cp313.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.13-5_cp313.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.6.0-py313h8ef605b_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.15.0-py313hc93385a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-75.6.0-pyhff2d567_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/threadpoolctl-3.5.0-pyhc1e730c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.2.1-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024b-hc8b5060_0.conda
+      - pypi: .
+      osx-64:
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/bzip2-1.0.8-hfdf4475_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/c-compiler-1.8.0-hfc4bf79_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/ca-certificates-2024.12.14-h8857fd0_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/cctools-1010.6-h5b2de21_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/cctools_osx-64-1010.6-hea4301f_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/clang-17-17.0.6-default_hb173f14_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/clang-17.0.6-default_he371ed4_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/clang_impl_osx-64-17.0.6-h1af8efd_23.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/clang_osx-64-17.0.6-h7e5c614_23.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/clangxx-17.0.6-default_he371ed4_7.conda
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+      osx-arm64:
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+  - bzip2 >=1.0.8,<2.0a0
+  - libexpat >=2.6.4,<3.0a0
+  - libffi >=3.4,<4.0a0
+  - liblzma >=5.6.3,<6.0a0
+  - libmpdec >=4.0.0,<5.0a0
+  - libsqlite >=3.47.0,<4.0a0
+  - libzlib >=1.3.1,<2.0a0
+  - ncurses >=6.5,<7.0a0
+  - openssl >=3.4.0,<4.0a0
+  - python_abi 3.13.* *_cp313t
+  - readline >=8.2,<9.0a0
+  - tk >=8.6.13,<8.7.0a0
+  - tzdata
+  arch: arm64
+  platform: osx
+  track_features:
+  - py_freethreading
+  license: Python-2.0
+  size: 14709336
+  timestamp: 1733433507854
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/python-3.13.1-h4f43103_102_cp313.conda
   build_number: 102
   sha256: 0379adf6bb35ca47036860983701e8f6fae89c028d422f2b9439f3110893bc24
@@ -4027,6 +4617,30 @@ packages:
   purls: []
   size: 16753813
   timestamp: 1733433028707
+- conda: https://conda.anaconda.org/conda-forge/win-64/python-3.13.1-h1f59b40_2_cp313t.conda
+  build_number: 2
+  sha256: 15e44a5dd557f0a46308b14c8340546b27f43848c09f8f4631139e7259e14de9
+  md5: ad1bff6af012408963b33d7d0c0bbf87
+  depends:
+  - bzip2 >=1.0.8,<2.0a0
+  - libexpat >=2.6.4,<3.0a0
+  - libffi >=3.4,<4.0a0
+  - liblzma >=5.6.3,<6.0a0
+  - libmpdec >=4.0.0,<5.0a0
+  - libsqlite >=3.47.0,<4.0a0
+  - libzlib >=1.3.1,<2.0a0
+  - openssl >=3.4.0,<4.0a0
+  - python_abi 3.13.* *_cp313t
+  - tk >=8.6.13,<8.7.0a0
+  - tzdata
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
+  arch: x86_64
+  platform: win
+  license: Python-2.0
+  size: 16432463
+  timestamp: 1733433172071
 - conda: https://conda.anaconda.org/conda-forge/noarch/python-build-1.2.2.post1-pyhff2d567_1.conda
   sha256: da40ab7413029351852268ca479e5cc642011c72317bd02dba28235c5c5ec955
   md5: 0903621fe8a9f37286596529528f4f74
@@ -4057,6 +4671,15 @@ packages:
   - pkg:pypi/python-dateutil?source=hash-mapping
   size: 222505
   timestamp: 1733215763718
+- conda: https://conda.anaconda.org/conda-forge/noarch/python-freethreading-3.13.1-h92d6c8b_2.conda
+  sha256: c3a77710bb65b58aea334a40b24f313e948ad20e50321b89d1c2a33e32b7f31d
+  md5: 8618c8e664359e801165606d1c5cf10e
+  depends:
+  - cpython 3.13.1.*
+  - python_abi * *_cp313t
+  license: Python-2.0
+  size: 46647
+  timestamp: 1733433316813
 - conda: https://conda.anaconda.org/conda-forge/noarch/python-tzdata-2024.2-pyhd8ed1ab_1.conda
   sha256: 57c9a02ec25926fb48edca59b9ede107823e5d5c473b94a0e05cc0b9a193a642
   md5: c0def296b2f6d2dd7b030c2a7f66bb1f
@@ -4068,6 +4691,18 @@ packages:
   - pkg:pypi/tzdata?source=hash-mapping
   size: 142235
   timestamp: 1733235414217
+- conda: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.12-5_cp312.conda
+  build_number: 5
+  sha256: d10e93d759931ffb6372b45d65ff34d95c6000c61a07e298d162a3bc2accebb0
+  md5: 0424ae29b104430108f5218a66db7260
+  constrains:
+  - python 3.12.* *_cpython
+  arch: x86_64
+  platform: linux
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 6238
+  timestamp: 1723823388266
 - conda: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.13-5_cp313.conda
   build_number: 5
   sha256: 438225b241c5f9bddae6f0178a97f5870a89ecf927dfca54753e689907331442
@@ -4081,6 +4716,18 @@ packages:
   purls: []
   size: 6217
   timestamp: 1723823393322
+- conda: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.13-5_cp313t.conda
+  build_number: 5
+  sha256: 3405de6b376bc49b228b7650d2aa119a42224a7e567a82951a708fc4b914c035
+  md5: ea4c21b96e8280414d9e243da0ec3201
+  constrains:
+  - python 3.13.* *_cp313t
+  arch: x86_64
+  platform: linux
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 6247
+  timestamp: 1723823372966
 - conda: https://conda.anaconda.org/conda-forge/osx-64/python_abi-3.13-5_cp313.conda
   build_number: 5
   sha256: 075ad768648e88b78d2a94099563b43d3082e7c35979f457164f26d1079b7b5c
@@ -4094,6 +4741,18 @@ packages:
   purls: []
   size: 6291
   timestamp: 1723823083064
+- conda: https://conda.anaconda.org/conda-forge/osx-64/python_abi-3.13-5_cp313t.conda
+  build_number: 5
+  sha256: a96553de64be6441400e88c2c6ad7123d91cbcea4898b5966a653163f30d9f55
+  md5: 32ba8fc57ccb0b48dd6006974f65c525
+  constrains:
+  - python 3.13.* *_cp313t
+  arch: x86_64
+  platform: osx
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 6300
+  timestamp: 1723823108577
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/python_abi-3.13-5_cp313.conda
   build_number: 5
   sha256: 4437198eae80310f40b23ae2f8a9e0a7e5c2b9ae411a8621eb03d87273666199
@@ -4107,6 +4766,18 @@ packages:
   purls: []
   size: 6322
   timestamp: 1723823058879
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/python_abi-3.13-5_cp313t.conda
+  build_number: 5
+  sha256: 2165466ff175e1890b66d079d64449a1b6dd9873fb0f5e977839ccc4639b813b
+  md5: 24a9a05eba65586da53ad7b56a06dc02
+  constrains:
+  - python 3.13.* *_cp313t
+  arch: arm64
+  platform: osx
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 6317
+  timestamp: 1723823118660
 - conda: https://conda.anaconda.org/conda-forge/win-64/python_abi-3.13-5_cp313.conda
   build_number: 5
   sha256: 0c12cc1b84962444002c699ed21e815fb9f686f950d734332a1b74d07db97756
@@ -4120,6 +4791,18 @@ packages:
   purls: []
   size: 6716
   timestamp: 1723823166911
+- conda: https://conda.anaconda.org/conda-forge/win-64/python_abi-3.13-5_cp313t.conda
+  build_number: 5
+  sha256: 859af9dbeb82ecf298a3ab003a41bcc6bf94c70d145a9dbb3b07b6bdf0079cd5
+  md5: 37effbffb8e62bd156cb29d18b07a7e4
+  constrains:
+  - python 3.13.* *_cp313t
+  arch: x86_64
+  platform: win
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 6682
+  timestamp: 1723823193324
 - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2024.1-pyhd8ed1ab_0.conda
   sha256: 1a7d6b233f7e6e3bbcbad054c8fd51e690a67b129a899a056a5e45dd9f00cb41
   md5: 3eeeeb9e4827ace8c0c1419c85d590ad
@@ -4180,28 +4863,26 @@ packages:
   - pysocks>=1.5.6,!=1.5.7 ; extra == 'socks'
   - chardet>=3.0.2,<6 ; extra == 'use-chardet-on-py3'
   requires_python: '>=3.8'
-- conda: https://conda.anaconda.org/conda-forge/linux-64/ruff-0.8.5-py313he87ea70_0.conda
-  sha256: dc99a8fa116d11278fcae94a5d3461c9fe7e5c87c587555bee350fd527144568
-  md5: 288d127adebadb240fed28a1ca1964f3
+- conda: https://conda.anaconda.org/conda-forge/linux-64/ruff-0.8.6-py312h2156523_0.conda
+  sha256: 5da6e2380da29453c6fc86bd7fad879fd302785a37c5cb9bda7a311c967d7181
+  md5: 284282b754028b3271019713669aa23c
   depends:
   - __glibc >=2.17,<3.0.a0
   - libgcc >=13
   - libstdcxx >=13
-  - python >=3.13,<3.14.0a0
-  - python_abi 3.13.* *_cp313
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
   constrains:
   - __glibc >=2.17
   arch: x86_64
   platform: linux
   license: MIT
   license_family: MIT
-  purls:
-  - pkg:pypi/ruff?source=hash-mapping
-  size: 7957771
-  timestamp: 1735838022549
-- conda: https://conda.anaconda.org/conda-forge/osx-64/ruff-0.8.5-py313h2493e73_0.conda
-  sha256: 6bedda3f7b89bac5eeee7a67fa0c3a1592021a7a34c622b960a320e72bd65024
-  md5: 99cb901fe616e78937339a60e77656dd
+  size: 7974925
+  timestamp: 1736040705308
+- conda: https://conda.anaconda.org/conda-forge/osx-64/ruff-0.8.6-py313h2493e73_0.conda
+  sha256: 4d4228258e16da2c75aaea832349526122d5564ba863af7f7acc4faa572eeb80
+  md5: 953ab1834043d104ca60dc3c5737e34f
   depends:
   - __osx >=10.13
   - libcxx >=18
@@ -4213,13 +4894,11 @@ packages:
   platform: osx
   license: MIT
   license_family: MIT
-  purls:
-  - pkg:pypi/ruff?source=hash-mapping
-  size: 7370860
-  timestamp: 1735838179508
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/ruff-0.8.5-py313heab95af_0.conda
-  sha256: a46cb4be85c0afeb388302fa4b8c716a6c3252e57db73eb5b12f3da4000e4e8a
-  md5: 6d78872cc0b4faa31a202ad098ee3c43
+  size: 7370104
+  timestamp: 1736040917022
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/ruff-0.8.6-py313heab95af_0.conda
+  sha256: 0ff5a84b8fb6286a835b3f59b7b0857078d4631e2175d05eb265f000f5dc18df
+  md5: dcc3e1c0023d4c30d286c98c892e15ca
   depends:
   - __osx >=11.0
   - libcxx >=18
@@ -4232,13 +4911,11 @@ packages:
   platform: osx
   license: MIT
   license_family: MIT
-  purls:
-  - pkg:pypi/ruff?source=hash-mapping
-  size: 7020584
-  timestamp: 1735838228359
-- conda: https://conda.anaconda.org/conda-forge/win-64/ruff-0.8.5-py313h331c231_0.conda
-  sha256: b7fd82e126f951cbc6c569493418a852a6a52ef7af5b3f56948df4fe3362029b
-  md5: 5bc3f5498259a42cf25a2dd023e3a279
+  size: 7025487
+  timestamp: 1736041345824
+- conda: https://conda.anaconda.org/conda-forge/win-64/ruff-0.8.6-py313h331c231_0.conda
+  sha256: e16db317469b4c63261f1613198e3e639909478abe803b3356be0e981b3d0d11
+  md5: ae83fa5b982d68c0895aa154bef9d70f
   depends:
   - python >=3.13,<3.14.0a0
   - python_abi 3.13.* *_cp313
@@ -4249,10 +4926,8 @@ packages:
   platform: win
   license: MIT
   license_family: MIT
-  purls:
-  - pkg:pypi/ruff?source=hash-mapping
-  size: 6948524
-  timestamp: 1735838582723
+  size: 6956211
+  timestamp: 1736041782414
 - conda: https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.6.0-py313h8ef605b_0.conda
   sha256: 8c56beae5f7561617515b230c3f27b3afa4a6de41c4acc5b83b96c12d98cbe81
   md5: 0aa8e3b9e1818cc2e976f74959c8cdb9
@@ -4339,9 +5014,9 @@ packages:
   - pkg:pypi/scikit-learn?source=hash-mapping
   size: 9485378
   timestamp: 1733761009564
-- conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.14.1-py313h27c5614_2.conda
-  sha256: 68135151888b63c9469f0f7142bd4e06b8920afc69fb2f9f9f9655ae1d81a753
-  md5: 25c0eda0d2ed28962c5f3e8f7fbeace3
+- conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.15.0-py313hc93385a_0.conda
+  sha256: 98eb2439304e3efa94378bfa0ba535c60ba4bc804b20510b6ccf98b47f0aae09
+  md5: cd05940add8516cad1407b7dac647526
   depends:
   - __glibc >=2.17,<3.0.a0
   - libblas >=3.9.0,<4.0a0
@@ -4362,11 +5037,11 @@ packages:
   license_family: BSD
   purls:
   - pkg:pypi/scipy?source=hash-mapping
-  size: 17667257
-  timestamp: 1733621605879
-- conda: https://conda.anaconda.org/conda-forge/osx-64/scipy-1.14.1-py313hd641537_2.conda
-  sha256: 8a14ab8f050d6cdd77fbdcac1994c88c4c27d0c75c0cf25575a23e090db9d0ad
-  md5: 761f4433e80b2daed4d050da787db155
+  size: 19188982
+  timestamp: 1736010243934
+- conda: https://conda.anaconda.org/conda-forge/osx-64/scipy-1.15.0-py313hd604262_0.conda
+  sha256: a6d9d6f471b32d9dc10d97a6d2b313140cc673a9a4ad958d9d6d4ee8f37b873a
+  md5: ad0e3fcb5d4328802185894d7c37c182
   depends:
   - __osx >=10.13
   - libblas >=3.9.0,<4.0a0
@@ -4386,11 +5061,11 @@ packages:
   license_family: BSD
   purls:
   - pkg:pypi/scipy?source=hash-mapping
-  size: 16269125
-  timestamp: 1733621414139
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.14.1-py313hc010ede_2.conda
-  sha256: 394a29ea372b3a14a61f019a1667005f0ad3b991831186750a1e325410db68d3
-  md5: 158c3c59df41001fcec882f393a7bb1b
+  size: 17415718
+  timestamp: 1736010416370
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.15.0-py313h0cf4ea1_0.conda
+  sha256: 7f1b93362a8a42c1b51ef3f39a95f53104e281f0265e0d41267556a9b95da17f
+  md5: 75284bedd8160ef38e540009b7c13e05
   depends:
   - __osx >=11.0
   - libblas >=3.9.0,<4.0a0
@@ -4411,11 +5086,11 @@ packages:
   license_family: BSD
   purls:
   - pkg:pypi/scipy?source=hash-mapping
-  size: 15190591
-  timestamp: 1733621686803
-- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.14.1-py313h16bbbb2_2.conda
-  sha256: 3565f6ae3d04f3a8a876c4d5f609ae8b7dc42ebf5aa0b971ba3b20f55bfe45f9
-  md5: 7418098c38a1353a4a1f363efb948307
+  size: 16242568
+  timestamp: 1736010248344
+- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.15.0-py313h7ad3c46_0.conda
+  sha256: b0ef1e79e3ac940c8cbcf9ddf2ae61f2a02693ccf1320091f31845486404c868
+  md5: be0fdc62fba80fdc81299ef289a2775d
   depends:
   - libblas >=3.9.0,<4.0a0
   - libcblas >=3.9.0,<4.0a0
@@ -4434,8 +5109,8 @@ packages:
   license_family: BSD
   purls:
   - pkg:pypi/scipy?source=hash-mapping
-  size: 16111468
-  timestamp: 1733622474234
+  size: 18006929
+  timestamp: 1736011093706
 - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-75.6.0-pyhff2d567_1.conda
   sha256: abb12e1dd515b13660aacb5d0fd43835bc2186cab472df25b7716cd65e095111
   md5: fc80f7995e396cbaeabd23cf46c413dc
@@ -4778,8 +5453,6 @@ packages:
   - python >=3.9
   license: MIT
   license_family: MIT
-  purls:
-  - pkg:pypi/tokenize-rt?source=hash-mapping
   size: 11783
   timestamp: 1733251663622
 - conda: https://conda.anaconda.org/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_1.conda
@@ -4811,8 +5484,6 @@ packages:
   - python >=3.9
   license: PSF-2.0
   license_family: PSF
-  purls:
-  - pkg:pypi/typing-extensions?source=hash-mapping
   size: 39637
   timestamp: 1733188758212
 - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024b-hc8b5060_0.conda
diff --git a/pyproject.toml b/pyproject.toml
index 199c7a9..b78ab4f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -5,7 +5,7 @@ description = "A fast canonical-correlation-based feature selection method"
 authors = [
     { name = "Matthew Sikai Zhang", email = "matthew.szhang91@gmail.com" },
 ]
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 readme = "README.rst"
 license = { file = "LICENSE" }
 
@@ -19,7 +19,6 @@ classifiers = [
     "Operating System :: Unix",
     "Operating System :: MacOS",
     "Programming Language :: Python :: 3",
-    "Programming Language :: Python :: 3.9",
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
     "Programming Language :: Python :: 3.12",
@@ -36,6 +35,26 @@ tracker = "https://github.com/scikit-learn-contrib/fastcan/issues"
 [project.optional-dependencies]
 docs = ["furo", "matplotlib", "sphinx_gallery", "sphinx-design"]
 
+[build-system]
+requires = ["meson-python>=0.16.0", "Cython>=3.0.10", "scikit-learn>=1.6.0"]
+build-backend = "mesonpy"
+
+[tool.pixi.project]
+channels = ["conda-forge"]
+platforms = ["win-64", "linux-64", "osx-64", "osx-arm64"]
+
+[tool.pixi.dependencies]
+python = ">=3.13.0"
+scikit-learn = ">=1.6.0"
+
+[tool.pixi.pypi-dependencies]
+fastcan = { path = ".", editable = true }
+
+[tool.pixi.build-dependencies]
+cython = ">=3.0.10"
+meson-python = ">=0.16.0"
+ninja = ">=1.12.1"
+
 [tool.pixi.feature.test.dependencies]
 pytest = "*"
 pytest-cov = "*"
@@ -55,21 +74,12 @@ mypy = "*"
 python-build = "*"
 uv = "*"
 
-[build-system]
-requires = ["meson-python>=0.16.0", "Cython>=3.0.10", "scikit-learn>=1.6.0"]
-build-backend = "mesonpy"
-
-[tool.pixi.project]
-channels = ["conda-forge"]
-platforms = ["win-64", "linux-64", "osx-64", "osx-arm64"]
-
-[tool.pixi.pypi-dependencies]
-fastcan = { path = ".", editable = true }
-
-[tool.pixi.build-dependencies]
-cython = ">=3.0.10"
-meson-python = ">=0.16.0"
-ninja = ">=1.12.1"
+[tool.pixi.feature.nogil.dependencies]
+python-freethreading = "*"
+pip = "*"
+meson-python = "*"
+joblib = "*"
+threadpoolctl = "*"
 
 [tool.pixi.target.osx-64.build-dependencies]
 compilers = "*"
@@ -77,15 +87,6 @@ compilers = "*"
 [tool.pixi.target.osx-arm64.build-dependencies]
 compilers = "*"
 
-[tool.pixi.host-dependencies]
-meson-python = ">=0.16.0"
-cython = ">=3.0.10"
-scikit-learn = ">=1.6.0"
-
-[tool.pixi.dependencies]
-python = ">=3.12.0"
-scikit-learn = ">=1.6.0"
-
 [tool.pixi.tasks]
 time-h = "python -m timeit -n 5 -s 'import numpy as np; from fastcan import FastCan; X = np.random.rand(3000, 100); y = np.random.rand(3000, 20)' 's = FastCan(100, verbose=0).fit(X, y)'"
 time-eta = "python -m timeit -n 5 -s 'import numpy as np; from fastcan import FastCan; X = np.random.rand(3000, 100); y = np.random.rand(3000, 20)' 's = FastCan(100, eta=True, verbose=0).fit(X, y)'"
@@ -113,8 +114,23 @@ type = { cmd = "mypy . --ignore-missing-imports", cwd = "fastcan" }
 doc = { cmd = "$SPHINXBUILD -M $CMD $SOURCEDIR $BUILDDIR $SPHINXOPTS", cwd = "doc", env = { SPHINXBUILD = "sphinx-build", CMD = "html", SOURCEDIR = ".", BUILDDIR = "_build", SPHINXOPTS = "" } }
 doc-clean = { cmd = "rm -rf $BUILDDIR generated auto_examples", cwd = "doc", env = { BUILDDIR = "_build" } }
 
+[tool.pixi.feature.nogil.tasks]
+install-scikit-learn = "pip install scikit-learn" # TODO: change to pypi-dependencies after pixi update
+
+nogil-build = { cmd = "pip install --editable . --verbose --no-build-isolation --config-settings editable-verbose=true", depends_on = [
+    "install-scikit-learn",
+] }
+nogil-h = { cmd = "python -Xgil=0 -m timeit -n 5 -s 'import numpy as np; from fastcan import FastCan; X = np.random.rand(3000, 100); y = np.random.rand(3000, 20)' 's = FastCan(100, verbose=0).fit(X, y)'", depends_on = [
+    "nogil-build",
+] }
+nogil-eta = { cmd = "python -Xgil=0 -m timeit -n 5 -s 'import numpy as np; from fastcan import FastCan; X = np.random.rand(3000, 100); y = np.random.rand(3000, 20)' 's = FastCan(100, eta=True, verbose=0).fit(X, y)'", depends_on = [
+    "nogil-build",
+] }
+
 [tool.pixi.environments]
-default = ["fmt", "lint", "type", "docs", "test", "build"]
+dev = ["docs", "test", "build"]
+lint = { features = ["fmt", "lint", "type"], no-default-feature = true }
+nogil = { features = ["nogil"], no-default-feature = true }
 
 [tool.black]
 line-length = 88