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+# -*- coding: utf-8 -*-%0A%22%22%22%0APackage with factor rotation algorithms.%0A%0AThis file contains a Python version of the gradient projection rotation%0Aalgorithms (GPA) developed by Bernaards, C.A. and Jennrich, R.I.%0AThe code is based on the Matlab version of the code developed Bernaards, C.A.%0Aand Jennrich, R.I. and is ported and made available with permission of the%0Aauthors.%0A%0AAdditionally, several analytic rotation methods are implemented.%0A%0AReferences%0A----------%0A%5B1%5D Bernaards, C.A. and Jennrich, R.I. (2005) Gradient Projection Algorithms and Software for Arbitrary Rotation Criteria in Factor Analysis. Educational and Psychological Measurement, 65 (5), 676-696.%0A%0A%5B2%5D Jennrich, R.I. (2001). A simple general procedure for orthogonal rotation. Psychometrika, 66, 289-306.%0A%0A%5B3%5D Jennrich, R.I. (2002). A simple general method for oblique rotation. Psychometrika, 67, 7-19.%0A%0A%5B4%5D http://www.stat.ucla.edu/research/gpa/matlab.net%0A%0A%5B5%5D http://www.stat.ucla.edu/research/gpa/GPderfree.txt%0A%22%22%22%0A%0A#__all__ = %5B'wrappers'%5D%0A%0Afrom _wrappers import rotate_factors%0A%0Afrom _analytic_rotation import target_rotation, procrustes, promax

Add factor_rotation package by @mvds314 https://github.com/mvds314/factor_rotation