What is MANOVA in the StatsModels library?

This recipe describes what is MANOVA in the StatsModels library

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Recipe Objective - What is MANOVA in the StatsModels library?

MANOVA is Multivariate Analysis of Variance. The MANOVA implementation is based on multivariate regression and does not assume that the explanatory variables are categories. All kinds of variables like regression are allowed. It belongs to a class statsmodels.multivariate.manova.MANOVA(endog, exog, missing='none', hasconst=None, **kwargs)

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Parameters:

endog
Dependent variables. A nobs x k_endog array where nobs are the number of observations and k_endog is the number of dependent variables.

exog
Independent variables. A nobs x k_exog array where nobs are the number of observations and k_exog is the number of independent variables. An intercept is not included by default and should be added by the user. Models specified using a formula include an intercept by default.

Methods:

fit()
Fit a model to data.

from_formula(formula, data[, subset, drop_cols])
Create a Model from a formula and dataframe.

mv_test([hypotheses])
Linear hypotheses testing

predict(params[, exog])
After a model has been fit predict returns the fitted values.

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