Table 3.
Predictor weights of the most parsimonious Partial Least Squares Regression (PLS-R) model explaining the effects of co-infection by several viruses, protozoa, helminth and arthropod species on body condition in 57 feral cats from Majorca Island, Spain
| Pathogen group | Predictor variables | Weights | % Variance explained |
|---|---|---|---|
| Helminths (nematodes) | Toxocara cati | −0·483 | 23·35 |
| Protozoa | Protozoa richness | −0·359 | 12·88 |
| Helminths (cestodes) | Diplopylidium acanthotetra | −0·325 | 10·58 |
| Helminths | Helminth richness | −0·325 | 10·53 |
| Helminths (nematodes) | Ancylostoma tubaeforme | −0·323 | 10·42 |
| Protozoa | Toxoplasma gondii | −0·317 | 10·04 |
| Helminths (cestodes) | Joyeuxiella pasqualei | −0·272 | 7·42 |
| Protozoa | Leishmania infantum | −0·235 | 5·50 |
| Viruses | Feline leukaemia virus | 0·200 | 4·01 |
| Helminths (cestodes) | Dipylidium carracidoi | −0·144 | 2·08 |
| Viruses | Virus richness | 0·126 | 1·58 |
| Helminths (nematodes) | Oslerus rostratus | −0·098 | 0·97 |
| Helminths (cestodes) | Taenia taeniformis | −0·074 | 0·55 |
Predictor weights represent the contribution of each pathogen infection to the PLS-R x-axis. Predictor weights explaining more than 5% of the total variance in each response variable are shown in bold type.