Statsmodels Iolib Summary2 Statsmodels 0 15 0 845

© 2009–2012 Statsmodels Developers© 2006–2008 Scipy Developers© 2006 Jonathan E. TaylorLicensed under the 3-clause BSD License. http://www.statsmodels.org/stable/generated/statsmodels.iolib.summary2.Summary.html Construction does not take any parameters. Tables and text can be added with the add_ methods. Contains the list of SimpleTable instances, horizontally concatenated tables are not saved separately.

extra lines that are added to the text output, used for warnings and explanations. add additional text that will be added at the end in text format add_table_2cols(res[, title, gleft, gright, ...]) There was an error while loading. Please reload this page. Create a dict with information about the model

Label of the summary table that can be referenced in a latex document (optional) There was an error while loading. Please reload this page. After fitting an OLS regression model and using remove_data() to reduce the model size, when I try to summarize the results using statsmodels.iolib.summary2.summary_col() I get the following error: Note: As you can see, there are many issues on our GitHub tracker, so it is very possible that your issue has been posted before. Please check first before submitting so that we do not have to handle and close duplicates.

Note: Please be sure you are using the latest released version of statsmodels, or a recent build of master. If your problem has been fixed in an unreleased version, you might be able to use master until a new release occurs. Note: If you are using a released version, have you verified that the bug exists in the master branch of this repository? It helps the limited resources if we know problems exist in the current master so that they do not need to check whether the code sample produces a bug in the next release. Summarize multiple results instances side-by-side (coefs and SEs) results : statsmodels results instance or list of result instances

float format for coefficients and standard errors Default : ‘%.4f’ model_names : list of strings of length len(results) if the names are not unique, a roman number will be appended to all model names

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