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Table 3 Predictor weights of the most parsimonious Partial Least Squares (PLS) regression model explaining the physiological cost of parasitism in male chamois from the Freser-Setcases National Game Reserve, northeast Spain

From: The physiological cost of male-biased parasitism in a nearly monomorphic mammal

PLS blocks Predictor variables Loads Weights Percent Cross-correlation
X GI richness -0.41 -0.54 29.25 -0.99
LN richness -0.37 -0.46 21.41 -0.85
Total GI intensity -0.37 -0.39 15.04 -0.71
Nematodirus spp. -0.31 -0.32 10.51 -0.59
Marshallagia spp. -0.19 -0.25 6.49 -0.47
Total LN intensity -0.27 -0.25 6.12 -0.45
P. r. rufescens -0.28 -0.23 5.48 -0.43
S. austriacus -0.27 -0.23 5.41 -0.43
LN larval richness -0.08 -0.05 0.29 -0.10
Y PON1 0.44 81.81 0.83
GPX 0.37 88.34 0.72
Body condition 0.35 77.98 0.71
  1. Predictor variables explaining more than 10% in the response block are shown in bold type. In the PLS Y’s block the Y U correlation has been shown as a proxy for variable importance
  2. Abbreviations: GI richness, number of gastrointestinal helminth species; LN richness, number of lung nematode species; Total GI intensity, number of adult nematodes in the gastrointestinal tract; Total LN intensity, number of adult nematodes in the lung; LN larval richness, number of larvae nematode species in the lung