Metadata-Version: 2.1
Name: plsdsm
Version: 0.0.1
Summary: A Python package for Partial Least Squares
Home-page: UNKNOWN
Author: Soulala Achraf, Souidi Yassine, Chafiqui Youssef, Eddamir Amine
Author-email: <achrafs758@gmail.com>
License: UNKNOWN
Keywords: python,regression,PLS,classification,p-value,correlation
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown


# dspls

This is a Partial Least Squares (PLS) package based on Python.



Partial least squares (PLS) is an extension of PCA in which both the  X and Y data are considered. In PCA, only the X data is considered. The goal of the PLS analysis is to build an equation that predicts Y values based on X data.



# Update

0.0.1 Finish the code of Basic PLS



0.0.2 Update the KernelPLS





# Download

The requirements are listed in "requirements.txt"



Use "pip install git+https://github.com/achrafs758/PLS-from-scratch.git" to install.







