semvec/pypi-packages huggingface dataset:
dspls 0.0.1
A Python package for Partial Least Squares
Keywords: python,regression,PLS,classification,p-value,correlation


# 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.
DS-PLS 0.0.1
A Python package for Partial Least Squares
Keywords: python,regression,PLS,classification,p-value,correlation


# DS-PLS
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.
py-ballisticcalc-stubs 1.0.10
PEP561 stub files for the py_ballisticcalc library
Requires Python: >= 3.9

# py_ballisticcalc-stubs
PEP561 stub files for the [py_ballisticcalc](https://github.com/o-murphy/py_ballisticcalc) library (Python 3.9+)

Installation
------------
**Stable universal release from PyPi**
```commandline
pip install py-ballisticcalc-stubs
```