PRC is small package to create principal response curves (PRC) and plot its diagram. It expresses ordinition scores from vegan::rda or cca as deviation from a reference, usually to visualize multivariate A-dependent effects of a treatment B. The method has been described in ter Braak, C J F. (2023). Redundancy analysis includes analysis of variance-simultaneous component analysis (ASCA) and outperforms its extensions Chemometrics and Intelligent Laboratory Systems https://doi.org/10.1016/j.chemolab.2023.104898 See also https://doi.org/10.6084/m9.figshare.22099844 for a test of the function PRC_scores.
You can install the released version of PRC from github by invoking the R-code within an R-console:
install.packages("remotes")
remotes::install_github("CajoterBraak/PRC")