Proceedings of young scientists and specialists of the Samara UniversityProceedings of young scientists and specialists of the Samara University2782-2982Samara National Research University8873INNOVATION AS AN ECONOMIC CATEGORY IN THE FOCUS OF MULTIDI-MENSIONAL STATISTICAL METHODSYachevskayaMargarita Alexandrovnayachevskaya_rita@mail.ru251220212 (19)65702806202124122021Copyright © 2022, Proceedings of young scientists and specialists of the Samara University2022<p>In this article discusses the issue of applying multidimensional static methods, namely the canonical correlation method in the study of innovation indicators and processes that are determined by innovation. It was found that there is a strong connection between the groups of innovation indicators and socio-economic indicators, which allows developing both indicators of the innovation group and indicators of the socio-economic sphere in the three leading regions of the Russian Federation. In addition, the work has formed latent integral indicators, which make it possible to comprehensively characterize the state of an individual subject of the studied regions, as well as to make a comparative analysis of regions as a whole and their subjects in the space of integral canonical variables and a comparative analysis of integral indicators in time.</p>indicators of innovationcanonical analysismultivariate statistical analysislatent factorsmultivariate data visualizationcanonical correlation coefficientпоказатели инновацииканонический анализмногомерных статистический анализлатентные факторывизуализация многомерных данныхкоэффициент канонической корреляции[1. Калюжный В. В. Современные трактовки понятия «Инновация» и его уточнение с использованием усовершенствованного метода системных триад дефиниций // Управление проектами и развитие производства. 2003. №1 (6).][2. Сошникова Л. А., Тамашевич В. Н., Уебе Г., Шефер М. Многомерный статистический анализ в экономике: Учеб. пособие для вузов. М.: ЮНИТИ-ДАНА, 1999. 598с.]