What is Canonical Correlation in the StatsModels library?

This recipe describes what is Canonical Correlation in the StatsModels library

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Recipe Objective - What is Canonical Correlation in the StatsModels library?

CanCorr is used to perform Canonical correlation analysis using singular value decomposition.

It belongs to a class statsmodels.multivariate.cancorr.CanCorr(endog, exog, tolerance=1e-08, missing='none', hasconst=None, **kwargs)

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Table of Contents

Attributes:

endog
dependent endogenous variable

exog
explanatory, right hand side variables, including explanatory variables that are endogenous

cancorr
The canonical correlation values

y_cancoeff
The canonical coefficients for endog

x_cancoeff
The canonical coefficients for exog

Methods:

corr_test()
Approximate F test Perform multivariate statistical tests of the hypothesis that there is no canonical correlation between endog and exog.

fit()
Fit a model to data.

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

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

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