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* add first iteration of content for Terminal Pro * Update index.md * Update dashboards.md * Update folders.md * Update grouping.md * Update report.md * Update templates.md * Update quick-start.md * Update index.md * Update index.md * Update home.md * Update news.md * Update index.md * Update index.md * Update index.md * Update data-provider.md * Update chat-with-widget.md * Update data-manipulation.md * Update forecasting.md * fix: images self closing tags * fix: only pro visitors can see pro * inter font * improve SEO content and restructuring * add new package for toggle on tutorials * move folder around * improve main page of each prod * small updates and improvements * fix logo above * small improvement in headtitle for portfolio funcs * fix typos from OpenAI's GPT-4 * fix _category_ json * remove generic SEO words * add script that generates SEO for documentation * add missing file * remove sdk warning message * fix links for andrew --------- Co-authored-by: jose-donato <zmcdonato@gmail.com> Co-authored-by: jose-donato <43375532+jose-donato@users.noreply.github.com> Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com>
1.3 KiB
Vendored
1.3 KiB
Vendored
title, description, keywords
| title | description | keywords | |||||
|---|---|---|---|---|---|---|---|
| bols | The page provides detailed instructions on how to use the 'Between estimator', which is part of the openbb.econometrics.bols Python function. It covers parameters, return values, and the code to be used. |
|
import HeadTitle from '@site/src/components/General/HeadTitle.tsx';
The between estimator is an alternative, usually less efficient estimator, can can be used to
Source Code: [link]
openbb.econometrics.bols(Y: pd.DataFrame, X: pd.DataFrame)
Parameters
| Name | Type | Description | Default | Optional |
|---|---|---|---|---|
| regression_variables | list | The regressions variables entered where the first variable is the dependent variable. |
None | True |
| data | dict | A dictionary containing the datasets. | None | True |
Returns
| Type | Description |
|---|---|
| Tuple[DataFrame, Any, List[Any], Any] | The dataset used, Dependent variable, Independent variable, Between OLS model. |