semvec/pypi-packages huggingface dataset:
modelselect 0.0.1
A package helps select independent variables for traditional linear regression models
License: MIT License
Keywords: python,linear regression,statsmodels,model improvement,select variables,insignificant,multicollinearity

# modelselect

A package helps easily create an optimal linear regression model by removing the insignificant and multicollinearity predictor variables, which can help you reduce the interactive process and tedious work to run the model, estimate it, evaluate it, reestimate and reevaluate it, etc. 

Developed by Shouke Wei from Deepsim Academy, Deepsim Intelligence Technology Inc. (c) 2022

## Install the package
```python
pip install modelselect
```

## import the package
```python
from modelselect import LRSelector
```
then use the `LRSelector()` directly. Or 
```python
import modelselect as ms
```
then use `ms.LRSelector()`

## Document
An example: https://github.com/shoukewei/modelselect/blob/main/docs/example.ipynb