linear_models

This document provides detailed guidance on linear regression models in statsmodels, including OLS, GLS, WLS, quantile regression, and specialized variants.

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Content

# Linear Regression Models Reference

This document provides detailed guidance on linear regression models in statsmodels, including OLS, GLS, WLS, quantile regression, and specialized variants.

## Core Model Classes

### OLS (Ordinary Least Squares)

Assumes independent, identically distributed errors (Σ=I). Best for standard regression with homoscedastic errors.

**When to use:**
- Standard regression analysis
- Errors are independent and have constant variance
- No autocorrelation or heteroscedasticity
- Most common starting point

**Basic usage:**
```python
import statsmodels.api as sm
im

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