Abstract
Partial least squares regression analysis (PLS) and principal component regression analysis (PCR) were examined asmethodological procedures for assessing the quality of coastalwaters in a tourist area. Four variables related to the trophicstate of waters, namely nitrate, nitrite, ammonia and phosphate were analyzed. The models resulting from PLS and PCR were verysimilar. Both defined three groups of water masses characterizedby different nutrient loadings. These groups were in accordancewith those obtained by numerical classification. The PLS methodwas selected as the optimal model, on the basis of its lowerprediction errors (lower Press and Rmsd values). For managementpurposes, this statistical model allows mesotrophic conditions,reflecting some nutrient enrichment over background conditions,to be characterized and the successful diagnosis of additionalsamples within this context.
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Aguilera, P.A., Garrido Frenich, A., Castro, H. et al. PLS and PCR Methods in the Assessment of Coastal Water Quality. Environ Monit Assess 62, 193–204 (2000). https://doi.org/10.1023/A:1006236804405
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DOI: https://doi.org/10.1023/A:1006236804405