Abstract
For the investigation of the relationships between two datasets where the individuals are divided into groups a simple procedure called multi-group pls regression is discussed. It is a straightforward extension of pls regression to take account of the group structure. It can also be seen as an extension of multi-group principal components analysis to the case of two blocks of data. The proposed method of analysis is illustrated on the basis of a real case study pertaining to the field of veterinary epidemiology.
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Eslami, A., Qannari, E.M., Kohler, A., Bougeard, S. (2013). Multi-group PLS Regression: Application to Epidemiology. In: Abdi, H., Chin, W., Esposito Vinzi, V., Russolillo, G., Trinchera, L. (eds) New Perspectives in Partial Least Squares and Related Methods. Springer Proceedings in Mathematics & Statistics, vol 56. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8283-3_17
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DOI: https://doi.org/10.1007/978-1-4614-8283-3_17
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