SurveyCC

Performs canonical correlation for survey data, including multiple tests of significance for secondary canonical correlations. A key feature of this package is that it incorporates survey data structure directly in a novel test of significance via a sequence of simple linear regression models on the canonical variates. See references - Cruz-Cano and Mead-Morse (2023) "Canonical Correlation Analysis for Complex Survey data" The Stata Journal under review. Gentzke AS, Wang TW, Cornelius M, Park-Lee E, Ren C, Sawdey MD, Cullen KA, Loretan C, Jamal A, Homa DM (2021) "Tobacco Product Use and Associated Factors among Middle and High School Students - National Youth Tobacco Survey, United States" doi:10.15585/mmwr.ss7105a1. Gittins R (1986 ISBN:3642698786, 9783642698781). Caliński T., Krzyśko M. and WOłyński W. (2006) "A Comparison of Some Tests for Determining the Number of Nonzero Canonical Correlations" doi:10.1080/03610910600716290. Hyland A, Ambrose BK, Conway KP, et al. (2017) "Design and methods of the Population Assessment of Tobacco and Health" doi:10.1136/tobaccocontrol-2016-052934. Johnstone IM. (2009) "Approximate Null Distribution of the largest root in a Multivariate Analysis" doi:10.1214/08-AOAS220. Valliant R. and Dever JA. (2018 ISBN:978-1-59718-260-7).