Metadata-Version: 2.4
Name: process-improve
Version: 0.9.96
Summary: Designed Experiments; Latent Variables (PCA, PLS, multivariate methods with missing data); Process Monitoring; Batch data analysis.
Project-URL: Homepage, https://github.com/kgdunn/process_improve
Project-URL: Repository, https://github.com/kgdunn/process_improve
Project-URL: Issues, https://github.com/kgdunn/process_improve/issues
Author-email: Kevin Dunn <kgdunn@gmail.com>
License: MIT license
License-File: LICENSE
Keywords: Batch data analysis,Designed Experiments,Latent Variables,Multivariate Data Analysis,PCA,PLS
Requires-Python: >=3.10
Requires-Dist: bokeh>=3.7.3
Requires-Dist: matplotlib>=3.10.3
Requires-Dist: numba>=0.61.2
Requires-Dist: numpy>=1.26.4
Requires-Dist: openpyxl>=3.1.5
Requires-Dist: pandas>=2.3.1
Requires-Dist: patsy>=1.0.1
Requires-Dist: plotly>=6.2.0
Requires-Dist: pydantic>=2.11.7
Requires-Dist: ridgeplot>=0.3.2
Requires-Dist: scikit-image>=0.25.2
Requires-Dist: scikit-learn>=1.7.0
Requires-Dist: seaborn>=0.13.2
Requires-Dist: statsmodels>=0.14.5
Requires-Dist: tqdm>=4.67.1
Description-Content-Type: text/markdown

# Process Improvement (using Data)

This is a package that goes with the
[online book](https://learnche.org/pid) of the same title,
Process Improvement using Data.
