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Estimating auto regression params is just an ordinary least regression in disguise (AFAIK). At least as long we don't do any fancy stuff and restrict ourselves to the standard AR(p) processes (no seas…
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Dear Sergio,
`reghdfe `automatically run an OLS regression with a constant, and the current 'noconstant' option only suppresses the reporting of the constant. Is there a way to run an OLS regressio…
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#### Describe the bug
The method `RegressionResults.condition_number(self)` uses un-standardized explanatory variables to calculate condition number, but according to the following article and a co…
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With large values, the regression line can be done incorrectly:
![image](https://github.com/mwaskom/seaborn/assets/118690308/4d5c8d0b-7ede-4a77-9101-4b442a3154ae)
The first three lines are good,…
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Hi, thanks for this great library!
I am getting perfect correlation for the following toy example. I expected ~zero correlation as in the regression approach.
```python
import numpy as np
import…
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I'm attempting to do multivariate linear regression using statsmodels. For that, I am using the Ordinary Least Squares model. Just to be precise, this is not multiple linear regression, but multivaria…
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default methods to find linear combos of predictors in classification and regression trees
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#### Is your feature request related to a problem? Please describe
Currently, I am working in a method comparison project. Basically, we want to asess the agreement between two methods for measuring …
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I use model4, where x to mediator m is an ols regression, and x, m to y is a negative binomial regression. How can I modify the code?
I really hope to receive a reply! Thank~
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In https://github.com/GeostatsGuy/DataScience_Interactive_Python/blob/main/Interactive_Model_Fitting.ipynb
the bullets (near the top) for "Ordinary Least Squares Fitting" and "Maximum Likelihood Fitt…