![]() In addition, XLSTAT-Base features machine learning methods (association rules, regression and classification trees and K-Nearest Neighbors), partial least square regression and much more. You’ll benefit from data preparation and visualization tools, parametric and nonparametric tests, modeling methods (ANOVA, regression, generalized linear models, mixed models, nonlinear models), data mining features (principal component analysis, correspondence analysis…) and clustering methods (Agglomerative Hierarchical Clustering, K-means…). ![]() XLSTAT includes more than 200 features in general or field-specific solutions. XLSTAT 2019 21.3 Choose the most popular programs from Design
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |