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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