.. pyplsc documentation master file, created by sphinx-quickstart on Wed Apr 1 14:37:32 2026. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. pyplsc ==================== A python implementation of partial least squares correlation (PLSC). Installation ------------ ``pyplsc`` can be installed from PyPI via: .. code-block:: pip install pyplsc Quickstart ---------- ``pyplsc`` uses ``sklearn``-style syntax for model fitting: .. code-block:: from pyplsc import PLSC plsc = PLSC().fit(data=X, covariates=Y, design=table, between='group') plsc.permute(1000) # Permutation testing to assess significance plsc.bootstrap(1000) # Bootstrap resampling to assess reliability The examples and API explain these methods in greater depth. .. toctree:: :maxdepth: 1 :hidden: notebooks/background examples api