diff --git a/.gitignore b/.gitignore
index 609646f..b009043 100644
--- a/.gitignore
+++ b/.gitignore
@@ -34,4 +34,7 @@ doc/sg_execution_times.rst
 doc/.jupyterlite.doit.db
 doc/jupyterlite_contents/
 doc/_contents/
-emsdk/
\ No newline at end of file
+doc/_output/
+emsdk/
+packages/
+pyodide/
\ No newline at end of file
diff --git a/doc/conf.py b/doc/conf.py
index 460ae6d..0b99826 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -10,6 +10,8 @@
 import importlib.metadata
 from datetime import datetime
 
+from sphinx_gallery.notebook import add_code_cell
+
 # General information about the project.
 project = "fastcan"
 copyright = f"2024 - {datetime.now().year}, fastcan developers (MIT License)"
@@ -44,7 +46,7 @@
     # For PlantUML diagrams
     "sphinxcontrib.plantuml",
     # For interactive examples via JupyterLite
-    'jupyterlite_sphinx',
+    "jupyterlite_sphinx",
 ]
 
 # List of patterns, relative to source directory, that match files and
@@ -77,11 +79,6 @@
     "sklearn": ("https://scikit-learn.org/stable", None),
 }
 
-sphinx_gallery_conf = {
-    "examples_dirs": ["../examples"],
-    "gallery_dirs": ["auto_examples"],
-}
-
 # -----------------------------------------------------------------------------
 # Interactive documentation examples via JupyterLite
 # -----------------------------------------------------------------------------
@@ -92,3 +89,47 @@
     "If you encounter any issues, please report them on the"
     " [fastcan issue tracker](https://github.com/scikit-learn-contrib/fastcan/issues)."
 )
+
+
+def notebook_modification_function(notebook_content, notebook_filename):
+    notebook_content_str = str(notebook_content)
+    dummy_notebook_content = {"cells": []}
+    code_lines = []
+
+    if "fetch_" in notebook_content_str:
+        code_lines.extend(
+            [
+                "import pyodide_http",
+                "pyodide_http.patch_all()",
+            ]
+        )
+    # always import matplotlib and pandas to avoid Pyodide limitation with
+    # imports inside functions
+    code_lines.extend(
+        [
+            "import matplotlib",
+            "import pandas",
+        ]
+    )
+
+    if code_lines:
+        code_lines = ["# JupyterLite-specific code"] + code_lines
+        code = "\n".join(code_lines)
+        add_code_cell(dummy_notebook_content, code)
+
+    notebook_content["cells"] = (
+        dummy_notebook_content["cells"] + notebook_content["cells"]
+    )
+
+
+# -----------------------------------------------------------------------------
+suppress_warnings = [
+    # Ignore new warning in Sphinx 7.3.0 while pickling environment:
+    #   WARNING: cannot cache unpickable configuration value: 'sphinx_gallery_conf'
+    "config.cache",
+]
+sphinx_gallery_conf = {
+    "examples_dirs": ["../examples"],
+    "gallery_dirs": ["auto_examples"],
+    "jupyterlite": {"notebook_modification_function": notebook_modification_function},
+}
diff --git a/doc/environment.yml b/doc/environment.yml
index 718cde9..dd68f54 100644
--- a/doc/environment.yml
+++ b/doc/environment.yml
@@ -5,4 +5,7 @@ channels:
 dependencies:
   - xeus-python
   - matplotlib
-  - fastcan
\ No newline at end of file
+  - pandas
+  - fastcan
+  - pip:
+    - pyodide-http
\ No newline at end of file
diff --git a/examples/plot_forecasting.py b/examples/plot_forecasting.py
index b93d84e..ed6d43d 100644
--- a/examples/plot_forecasting.py
+++ b/examples/plot_forecasting.py
@@ -5,9 +5,6 @@
 
 .. currentmodule:: fastcan.narx
 
-.. note::
-    This example can NOT be run with JupyterLite so far.
-
 In this examples, we will demonstrate how to use :func:`make_narx` to build (nonlinear)
 AutoRegressive (AR) models for time-series forecasting.
 The time series used isthe monthly average atmospheric CO2 concentrations
diff --git a/fastcan/narx/tests/test_narx.py b/fastcan/narx/tests/test_narx.py
index 804f5b3..9eb2ef0 100644
--- a/fastcan/narx/tests/test_narx.py
+++ b/fastcan/narx/tests/test_narx.py
@@ -647,6 +647,7 @@ def test_auto_reg_error():
     with pytest.raises(ValueError, match=r"X should be an array-like of shape.*"):
         model.predict(len(y), y_init=y[: model.max_delay_])
 
+
 def test_predict_ndim():
     """Test the ndim of predict output"""
     X = np.random.rand(10, 2)
diff --git a/pixi.lock b/pixi.lock
index 622738c..490246b 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -11,7 +11,7 @@ environments:
       - 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/bzip2-1.0.8-hda65f42_8.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2025.8.3-hbd8a1cb_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cython-3.1.4-py312h7c45ced_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cython-3.1.4-py313h3484ee8_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/joblib-1.5.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.44-h1423503_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-36_h4a7cf45_openblas.conda
@@ -19,32 +19,30 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.7.1-hecca717_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libffi-3.4.6-h2dba641_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.1.0-h767d61c_5.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-15.1.0-h69a702a_5.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-15.1.0-h69a702a_5.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-15.1.0-hcea5267_5.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.1.0-h767d61c_5.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-36_h47877c9_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.1-hb9d3cd8_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hb9d3cd8_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libmpdec-4.0.0-hb9d3cd8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.30-pthreads_h94d23a6_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.50.4-h0c1763c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-15.1.0-h8f9b012_5.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.41.1-he9a06e4_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.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-1.9.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/meson-python-0.18.0-pyh70fd9c4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h2d0b736_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ninja-1.13.1-h171cf75_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.3.3-py312h33ff503_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.3.3-py313hf6604e3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.5.3-h26f9b46_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-25.0-pyh29332c3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyproject-metadata-0.9.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.12.11-h9e4cc4f_0_cpython.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.12-8_cp312.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.13.7-h2b335a9_100_cp313.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.13-8_cp313.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8c095d6_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.7.2-py312h4f0b9e3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.16.2-py312h7a1785b_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.7.2-py313h06d4379_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.16.2-py313h11c21cd_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-80.9.0-pyhff2d567_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/threadpoolctl-3.6.0-pyhecae5ae_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_hd72426e_102.conda
@@ -55,7 +53,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/_openmp_mutex-4.5-2_gnu.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/bzip2-1.0.8-h4777abc_8.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2025.8.3-hbd8a1cb_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cython-3.1.4-py312hfce37a5_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cython-3.1.4-py313h34093b6_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/joblib-1.5.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ld_impl_linux-aarch64-2.44-h5e2c951_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libblas-3.9.0-36_haddc8a3_openblas.conda
@@ -63,32 +61,30 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libexpat-2.7.1-hfae3067_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libffi-3.4.6-he21f813_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-15.1.0-he277a41_5.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-ng-15.1.0-he9431aa_5.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgfortran-15.1.0-he9431aa_5.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgfortran5-15.1.0-hbc25352_5.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgomp-15.1.0-he277a41_5.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/liblapack-3.9.0-36_h88aeb00_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/liblzma-5.8.1-h86ecc28_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libnsl-2.0.1-h86ecc28_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libmpdec-4.0.0-h86ecc28_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libopenblas-0.3.30-pthreads_h9d3fd7e_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsqlite-3.50.4-h022381a_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libstdcxx-15.1.0-h3f4de04_5.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libuuid-2.41.1-h3e4203c_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libxcrypt-4.4.36-h31becfc_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libzlib-1.3.1-h86ecc28_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/meson-1.9.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/meson-python-0.18.0-pyh70fd9c4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ncurses-6.5-ha32ae93_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ninja-1.13.1-hdc560ac_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/numpy-2.3.3-py312h6615c27_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/numpy-2.3.3-py313h11e5ff7_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/openssl-3.5.3-h8e36d6e_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-25.0-pyh29332c3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyproject-metadata-0.9.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/python-3.12.11-h1683364_0_cpython.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.12-8_cp312.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/python-3.13.7-h23354eb_100_cp313.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.13-8_cp313.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/readline-8.2-h8382b9d_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/scikit-learn-1.7.2-py312hb982b15_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/scipy-1.16.2-py312h410a068_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/scikit-learn-1.7.2-py313haf615d3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/scipy-1.16.2-py313he5bcb21_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-80.9.0-pyhff2d567_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/threadpoolctl-3.6.0-pyhecae5ae_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/tk-8.6.13-noxft_h5688188_102.conda
@@ -112,7 +108,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/compiler-rt_osx-64-19.1.7-h138dee1_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/compilers-1.11.0-h694c41f_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/cxx-compiler-1.11.0-h307afc9_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/cython-3.1.4-py312hfbda96f_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/cython-3.1.4-py313ha8e042b_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/fortran-compiler-1.11.0-h9ab62e8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/gfortran-14.3.0-hcc3c99d_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/gfortran_impl_osx-64-14.3.0-he320259_1.conda
@@ -137,6 +133,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-64/liblapack-3.9.0-36_h859234e_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libllvm19-19.1.7-h56e7563_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/liblzma-5.8.1-hd471939_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libmpdec-4.0.0-h6e16a3a_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libopenblas-0.3.30-openmp_h83c2472_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libsqlite-3.50.4-h39a8b3b_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libxml2-16-2.15.0-ha1d9b0f_0.conda
@@ -151,15 +148,15 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-64/mpfr-4.2.1-haed47dc_3.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/ncurses-6.5-h0622a9a_3.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/ninja-1.13.1-h0ba0a54_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/numpy-2.3.3-py312ha3982b3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/numpy-2.3.3-py313ha99c057_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/openssl-3.5.3-h230baf5_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-25.0-pyh29332c3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyproject-metadata-0.9.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/python-3.12.11-h9ccd52b_0_cpython.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.12-8_cp312.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/python-3.13.7-h5eba815_100_cp313.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.13-8_cp313.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/readline-8.2-h7cca4af_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/scikit-learn-1.7.2-py312hfee4f84_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/scipy-1.16.2-py312he2acf2f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/scikit-learn-1.7.2-py313hfce3ed8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/scipy-1.16.2-py313h61f8160_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-80.9.0-pyhff2d567_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/sigtool-0.1.3-h88f4db0_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-64/tapi-1300.6.5-h390ca13_0.conda
@@ -187,7 +184,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/compiler-rt_osx-arm64-19.1.7-he32a8d3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/compilers-1.11.0-hce30654_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/cxx-compiler-1.11.0-h88570a1_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.4.0-pyhcf101f3_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyh29332c3_1.conda
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-25.1.0-py312h4c3975b_0.conda
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-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
   license: MIT
   license_family: MIT
   purls:
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-- conda: https://conda.anaconda.org/conda-forge/linux-aarch64/argon2-cffi-bindings-25.1.0-py312hcd1a082_0.conda
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-  - python >=3.12,<3.13.0a0 *_cpython
-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python >=3.13,<3.14.0a0 *_cp313
+  - python_abi 3.13.* *_cp313
   license: MIT
   license_family: MIT
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+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
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   license_family: MIT
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-  - python >=3.12,<3.13.0a0 *_cpython
-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python >=3.13,<3.14.0a0 *_cp313
+  - python_abi 3.13.* *_cp313
   license: MIT
   license_family: MIT
   purls:
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-  size: 34110
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-- conda: https://conda.anaconda.org/conda-forge/win-64/argon2-cffi-bindings-25.1.0-py312he06e257_0.conda
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+- conda: https://conda.anaconda.org/conda-forge/win-64/argon2-cffi-bindings-25.1.0-py313h5ea7bf4_0.conda
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+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
   - ucrt >=10.0.20348.0
   - vc >=14.3,<15
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   purls:
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-  size: 38495
-  timestamp: 1753995226941
+  size: 38542
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 - conda: https://conda.anaconda.org/conda-forge/noarch/arrow-1.3.0-pyhd8ed1ab_1.conda
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+  md5: 12505dca259882acb4c344686f283f65
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   - libstdcxx >=14
   - pympler
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
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-- conda: https://conda.anaconda.org/conda-forge/linux-aarch64/asv-0.6.5-py312h1ab2c47_0.conda
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-  - python >=3.12,<3.13.0a0
-  - python >=3.12,<3.13.0a0 *_cpython
-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python >=3.13,<3.14.0a0 *_cp313
+  - python_abi 3.13.* *_cp313
   - pyyaml
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/asv-0.6.5-py312h69bf00f_0.conda
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+- conda: https://conda.anaconda.org/conda-forge/osx-64/asv-0.6.5-py313hc4a83b5_0.conda
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-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
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-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/asv-0.6.5-py312h455b684_0.conda
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+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/asv-0.6.5-py313h0e822ff_0.conda
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-  - python >=3.12,<3.13.0a0 *_cpython
-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python >=3.13,<3.14.0a0 *_cp313
+  - python_abi 3.13.* *_cp313
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-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
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-  size: 368960
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+  size: 372349
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@@ -4905,6 +4916,23 @@ packages:
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   size: 354149
   timestamp: 1756599553574
+- conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py313h7033f15_4.conda
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+  - libgcc >=14
+  - libstdcxx >=14
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  constrains:
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+  license: MIT
+  license_family: MIT
+  purls:
+  - pkg:pypi/brotli?source=compressed-mapping
+  size: 353639
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 - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/brotli-python-1.1.0-py312h1ab2c47_4.conda
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/brotli-python-1.1.0-py312h462f358_4.conda
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-  md5: 6ed15514446509f33df546dcc1752eb1
+- conda: https://conda.anaconda.org/conda-forge/linux-aarch64/brotli-python-1.1.0-py313he352c24_4.conda
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+  - libgcc >=14
+  - libstdcxx >=14
+  - python >=3.13,<3.14.0a0
+  - python >=3.13,<3.14.0a0 *_cp313
+  - python_abi 3.13.* *_cp313
   constrains:
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+  - libbrotlicommon 1.1.0 he30d5cf_4
   license: MIT
   license_family: MIT
   purls:
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-  size: 369380
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+  size: 358241
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-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/brotli-python-1.1.0-py312h6b01ec3_4.conda
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-  - python_abi 3.12.* *_cp312
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-  license_family: MIT
-  purls:
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-- conda: https://conda.anaconda.org/conda-forge/win-64/brotli-python-1.1.0-py312hbb81ca0_4.conda
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-  - vc14_runtime >=14.44.35208
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@@ -5374,6 +5369,22 @@ packages:
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   timestamp: 1756808421998
+- conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-2.0.0-py313hf01b4d8_0.conda
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+  - libgcc >=14
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+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  license: MIT
+  license_family: MIT
+  purls:
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-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
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   license: MIT
   license_family: MIT
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+  - pkg:pypi/cffi?source=compressed-mapping
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-  - python >=3.12,<3.13.0a0 *_cpython
-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
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   license: MIT
   license_family: MIT
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-  - python_abi 3.12.* *_cp312
-  - ucrt >=10.0.20348.0
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
+  - python >=3.13,<3.14.0a0
+  - python >=3.13,<3.14.0a0 *_cp313
+  - python_abi 3.13.* *_cp313
   license: MIT
   license_family: MIT
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   timestamp: 1756808584791
+- conda: https://conda.anaconda.org/conda-forge/win-64/cffi-2.0.0-py313h5ea7bf4_0.conda
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+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: MIT
+  license_family: MIT
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   - setuptools >=60.0.0
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-  - python >=3.12,<3.13.0a0 *_cpython
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+  - python_abi 3.13.* *_cp313
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+  - conda-build >=24.3
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-  - conda-build >=24.3
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+  - conda-build >=24.3
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-  - python >=3.12,<3.13.0a0 *_cpython
-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python >=3.13,<3.14.0a0 *_cp313
+  - python_abi 3.13.* *_cp313
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   - setuptools >=60.0.0
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   - truststore >=0.8.0
   - zstandard >=0.19.0
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+  - conda-build >=24.3
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-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
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-  - conda-build >=24.3
   - conda-env >=2.6
+  - conda-build >=24.3
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-  - python >=3.12,<3.13.0a0
+  - python >=3.13,<3.14.0a0
   - python-libarchive-c
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+  - python_abi 3.13.* *_cp313
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+- conda: https://conda.anaconda.org/conda-forge/linux-aarch64/conda-build-25.7.0-py313hd81a959_0.conda
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-  - python >=3.12,<3.13.0a0 *_cpython
+  - python >=3.13,<3.14.0a0
+  - python >=3.13,<3.14.0a0 *_cp313
   - python-libarchive-c
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+  - python_abi 3.13.* *_cp313
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+  - python >=3.13,<3.14.0a0
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+  - python_abi 3.13.* *_cp313
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+  md5: 0fed245c5463970451c156df4b8b732a
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-  - python >=3.12,<3.13.0a0 *_cpython
+  - python >=3.13,<3.14.0a0
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+  - python_abi 3.13.* *_cp313
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+  size: 463882
+  timestamp: 1757930129231
 - conda: https://conda.anaconda.org/conda-forge/osx-64/zstandard-0.25.0-py313hcb05632_0.conda
   sha256: 1df6717571a177a135622399708878c84620be5bd9a72dc67814486595ecb509
   md5: 7fbc3b11a6c969de321061575594eba7
@@ -22225,23 +22122,6 @@ packages:
   - pkg:pypi/zstandard?source=hash-mapping
   size: 469089
   timestamp: 1757930140546
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.25.0-py312h37e1c23_0.conda
-  sha256: 7b50d48e4f2d17d8a322d5896c1b0db49def163b105a078aaca4922ef7290696
-  md5: c05d2d4b438ef09c55b291e062eddf79
-  depends:
-  - python
-  - cffi >=1.11
-  - zstd >=1.5.7,<1.5.8.0a0
-  - __osx >=11.0
-  - python 3.12.* *_cpython
-  - python_abi 3.12.* *_cp312
-  - zstd >=1.5.7,<1.6.0a0
-  license: BSD-3-Clause
-  license_family: BSD
-  purls:
-  - pkg:pypi/zstandard?source=hash-mapping
-  size: 391011
-  timestamp: 1757930161367
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.25.0-py313h9734d34_0.conda
   sha256: 8a1bf8a66c05f724e8a56cb1918eae70bcb467a7c5d43818e37e04d86332c513
   md5: ce17795bf104a29a2c7ed0bba7a804cb
@@ -22259,27 +22139,6 @@ packages:
   - pkg:pypi/zstandard?source=hash-mapping
   size: 396477
   timestamp: 1757930170468
-- conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.25.0-py312he5662c2_0.conda
-  sha256: 23675fe9b8574fe93d3912d13a9855be9c7800bd34f8e944dd3d5b9b7265838d
-  md5: b14e2ff42f539a7eae7eaf03bd89ab82
-  depends:
-  - python
-  - cffi >=1.11
-  - zstd >=1.5.7,<1.5.8.0a0
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
-  - ucrt >=10.0.20348.0
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
-  - ucrt >=10.0.20348.0
-  - python_abi 3.12.* *_cp312
-  - zstd >=1.5.7,<1.6.0a0
-  license: BSD-3-Clause
-  license_family: BSD
-  purls:
-  - pkg:pypi/zstandard?source=hash-mapping
-  size: 374897
-  timestamp: 1757930143303
 - conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.25.0-py313h5fd188c_0.conda
   sha256: d20a163a466621e41c3d06bc5dc3040603b8b0bfa09f493e2bfc0dbd5aa6e911
   md5: edfe43bb6e955d4d9b5e7470ea92dead
diff --git a/pyproject.toml b/pyproject.toml
index b3dbc62..d3fd91e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,7 +1,7 @@
 [project]
 name = "fastcan"
 version = "0.4.1"
-description = "A fast canonical-correlation-based feature selection method"
+description = "A fast canonical-correlation-based greedy search algorithm"
 authors = [
     { name = "Matthew Sikai Zhang", email = "matthew.szhang91@gmail.com" },
 ]
@@ -59,7 +59,7 @@ channels = ["conda-forge"]
 platforms = ["win-64", "linux-64", "osx-64", "osx-arm64", "linux-aarch64"]
 
 [tool.pixi.dependencies]
-python = ">=3.12.0,<3.13"
+python = ">=3.10"
 scikit-learn = ">=1.7.0,!=1.7.1"
 
 [tool.pixi.pypi-dependencies]
@@ -81,6 +81,7 @@ plantuml = "*"
 [tool.pixi.feature.wasm.dependencies]
 pip = "*"
 pyodide-build = "*"
+prettier = "*"
 
 [tool.pixi.feature.asv.dependencies]
 asv = "*"
@@ -156,7 +157,7 @@ spell = "codespell"
 
 [tool.pixi.feature.docs.tasks]
 doc = { cmd = "{{ SPHINXBUILD }} -M {{ CMD }} {{ SOURCEDIR }} {{ BUILDDIR }} {{ SPHINXOPTS }} --fail-on-warning", cwd = "doc", args = [{ arg = "SPHINXBUILD", default = "sphinx-build" }, { arg = "CMD", default = "html" }, { arg = "SOURCEDIR", default = "." }, { arg = "BUILDDIR", default = "_build" }, { arg = "SPHINXOPTS", default = "" }] }
-doc-clean = { cmd = "rm -rf {{ BUILDDIR }} generated auto_examples jupyterlite_contents .jupyterlite.doit.db _contents", cwd = "doc", args = [{ arg = "BUILDDIR", default = "_build" }] }
+doc-clean = { cmd = "rm -rf {{ BUILDDIR }} generated auto_examples jupyterlite_contents .jupyterlite.doit.db _contents _output .cache", cwd = "doc", args = [{ arg = "BUILDDIR", default = "_build" }] }
 doc-deploy = { cmd = "python -m http.server" , cwd = "doc/_build/html" }
 
 [tool.pixi.feature.nogil.tasks]
@@ -164,11 +165,15 @@ nogil-h = "python -Xgil=0 -m timeit -n 5 -s 'import numpy as np; from fastcan im
 nogil-eta = "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)'"
 
 [tool.pixi.feature.wasm.tasks]
-wasm-clone-emsdk = "bash -c '[ -d emsdk ] || git clone https://github.com/emscripten-core/emsdk.git emsdk'"
-wasm-compatible = "pyodide xbuildenv search -a"
-wasm-toolchain = { cmd = "LATEST_COMPATIBLE=$(pyodide xbuildenv search -a | grep '│ Yes' | head -n 1 | awk -F '│' '{print $2}' | xargs) && pyodide xbuildenv install $LATEST_COMPATIBLE" }
-wasm-setup-emsdk = { cmd = "PYODIDE_EMSCRIPTEN_VERSION=$(pyodide config get emscripten_version) && ./emsdk install $PYODIDE_EMSCRIPTEN_VERSION && ./emsdk activate $PYODIDE_EMSCRIPTEN_VERSION", cwd = "emsdk", depends-on = ["wasm-clone-emsdk", "wasm-toolchain"] }
-wasm-build = { cmd = "bash -c 'source emsdk/emsdk_env.sh && pyodide build'", depends-on = ["wasm-setup-emsdk"] }
+emsdk-clone = "bash -c '[ -d emsdk ] || git clone https://github.com/emscripten-core/emsdk.git emsdk'"
+pyodide-compatible = "pyodide xbuildenv search -a"
+pyodide-toolchain = { cmd = "LATEST_COMPATIBLE=$(pyodide xbuildenv search -a | grep '│ Yes' | head -n 1 | awk -F '│' '{print $2}' | xargs) && pyodide xbuildenv install $LATEST_COMPATIBLE" }
+emsdk-setup = { cmd = "PYODIDE_EMSCRIPTEN_VERSION=$(pyodide config get emscripten_version) && ./emsdk install $PYODIDE_EMSCRIPTEN_VERSION && ./emsdk activate $PYODIDE_EMSCRIPTEN_VERSION", cwd = "emsdk", depends-on = ["emsdk-clone", "pyodide-toolchain"] }
+pyodide-build = { cmd = "bash -c 'source emsdk/emsdk_env.sh && pyodide build'", depends-on = ["emsdk-setup"] }
+pyodide-create-recipe = "rm -rf packages && pyodide skeleton pypi fastcan"
+pyodide-build-recipe = { cmd = "rm -rf dist && bash -c 'source emsdk/emsdk_env.sh && pyodide build-recipes fastcan --install'", depends-on = ["emsdk-setup"] }
+pyodide-download = '''bash -c "[ -d pyodide ] || (LATEST_TAG=$(curl -s https://api.github.com/repos/pyodide/pyodide/releases/latest | grep \"tag_name\" | cut -d \" -f4) && curl -L https://github.com/pyodide/pyodide/releases/download/${LATEST_TAG}/pyodide-${LATEST_TAG}.tar.bz2 | tar -xjf -)"'''
+pyodide-test-recipe = { cmd = "mv ../dist/* . && python -m http.server --directory .", cwd = "pyodide", depends-on = ["pyodide-download", "pyodide-build-recipe"] }
 
 [tool.pixi.environments]
 dev = ["docs", "test", "build", "jupyter", "asv"]
diff --git a/rtd-environment.yml b/rtd-environment.yml
index cf0941b..b8dc965 100644
--- a/rtd-environment.yml
+++ b/rtd-environment.yml
@@ -5,13 +5,13 @@ dependencies:
   - micromamba
   - pip
   - furo
-  - matplotlib
-  - pandas
   - sphinx-gallery
   - sphinx-design
   - sphinxcontrib-plantuml
   - jupyterlite-sphinx
   - plantuml
+  - matplotlib
+  - pandas
   - pip:
       - .
-      - jupyterlite-xeus >=2.1.2
\ No newline at end of file
+      - jupyterlite-xeus
\ No newline at end of file
diff --git a/tests/test_fastcan.py b/tests/test_fastcan.py
index 380ede3..540bb3d 100644
--- a/tests/test_fastcan.py
+++ b/tests/test_fastcan.py
@@ -52,7 +52,7 @@ def test_select_kbest_classif():
     ssc = correlation_filter.scores_.sum()
     # Test whether the ssc from the fastcan is consistent
     # with the mcc from the linear regression
-    assert_almost_equal(actual=ssc, desired=gtruth_ssc)
+    assert abs(ssc - gtruth_ssc) < 1e-5
 
     support = correlation_filter.get_support()
     gtruth = np.zeros(n_features)