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process-improve


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Author: Kevin Dunn
Summary: Designed Experiments; Latent Variables (PCA, PLS, multivariate methods with missing data); Process Monitoring; Batch data analysis.
Latest version: 1.51.2
Required dependencies: numpy | pandas | patsy | pydantic | pyyaml | scikit-learn | statsmodels | tqdm
Optional dependencies: coverage | hypothesis | ipykernel | matplotlib | matplotlib-stubs | mcp | mypy | nbsphinx | numba | openpyxl | pandas-stubs | plotly | plotly-stubs | pre-commit | pulp | pydata-sphinx-theme | pydoe3 | pytest | pytest-benchmark | pytest-cov | pytest-xdist | ridgeplot | ruff | scikit-image | seaborn | sphinx | tqdm-stubs | watchdog

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