Tag: Multivariate statistics

Redundancy Analysis (RDA) is a constrained ordination method that is the multivariate extension of linear regression, explicitly exploring the relationships between two matrices: a response matrix and an explanatory matrix. This powerful statistical tool is fundamental in fields like ecology and environmental science.

According to a 2025 review on landscape genomics, redundancy analysis (RDA) is a highly versatile tool for identifying and evaluating relationships between genetic and environmental variation. A comprehensive guide on what is the RDA analysis is essential for researchers looking to understand and apply this multivariate statistical method effectively.