-
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…
-
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…
-
#### 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…
-
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…
-
default methods to find linear combos of predictors in classification and regression trees
-
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,…
-
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…
-
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~
-
If you try to use jStat.models.ols() for a simple linear regression (in which exog is a single dimensional variable plus the column of ones for intercept), the t_test will break in sub_regress().
-
### System information
- **OS version/distro**: Windows 10
- **.NET Version (eg., dotnet --info)**:
.NET SDK (reflecting any global.json):
Version: 5.0.200
Commit: 70b3e65d53
Runtime…
zyzhu updated
3 years ago