Package: resemble 3.0.1

resemble: Similarity Retrieval and Local Learning for Spectral Chemometrics

Functions for dissimilarity analysis and machine learning in complex spectral data sets, including memory-based learning (MBL), optimal subset search and selection, and retrieval-based modelling with model libraries. Supports local learning, optimisation of spectral libraries, and ensemble prediction from precomputed models. Most of these functions are based on the methods presented in Ramirez-Lopez et al. (2013) <doi:10.1016/j.geoderma.2012.12.014>.

Authors:Leonardo Ramirez-Lopez [aut, cre], Antoine Stevens [aut, ctb], Claudio Orellano [ctb]