2. lipid Weight Length Age Height Temp Lati Long HCB aHCH gHCH dde ddt pcb28 pcb52 pcb101 pcb118 pcb138 pcb153 pcb180 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Loadings

3. Øvre Neådalsvtan Fallbekktjørna Nedre Neadalsvatn Øvre Heimdalsvatnet Stavsvatn Lochnagar Maan Zielony Staw Gasienicowy Vel’ké Hincovo Gossenkoellesee Rotfelsee Oberder Plenderlesee Schwarzsee Lungo Jörisee Paione inferiore Aubé Redo Okoto Bliznaka Cimera Escura 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Scores

4. nscores(:,1)=scores(:,1)./norm(scores(:,1),2); nscores(:,2)=scores(:,2)./norm(scores(:,2),2); plot(loads(:,1),loads(:,2),'ob') hold plot(nscores(:,1),nscores(:,2),'+r') vline(0) hline(0) text(nscores(:,1),nscores(:,2),lakenames(:,1:3)); text(loads(:,1),loads(:,2),namevarall); grid on

7. nscores(:,1)=scores(:,1)./norm(scores(:,1),2); nscores(:,2)=scores(:,2)./norm(scores(:,2),2); plot(loads(:,1),loads(:,2),'ob') hold plot(nscores(:,1),nscores(:,2),'+r') vline(0) hline(0) text(nscores(:,1),nscores(:,2),lakenames(:,1:3)); text(loads(:,1),loads(:,2),namevarall); grid on

8. scores with norm 2

9. scores with norm 1

10. biplot(loads(:,1:2), 'scores',scores(:,1:2), 'varlabels',namevarall(:,1:3), 'ObsLabels', lakenames);

15. y=meanpcb180 xo=meanvar; axo=auto(x); ay=auto(y); [b,ssq,p,q,w,t,u,bin] = pls(axo,ay,5,1); vip_scores = vipr(t(:,1),p(:,1),w(:,1),b(1,:)',1,8,namevarpar);

16. b with 1 PLS components y=meanpcb180

17. weights with 1 PLS components

18. VIP with 1 PLS components

19. VIP with 2 PLS components

20. [press,cumpress]=crossval(axo,ay,'sim','loo',5); Percent Variance Captured by PLS Model -----X-Block----- -----Y-Block----- LV # This LV Total This LV Total ---- ------- ------- ------- ------- 1 35.98 35.98 61.20 61.20 2 8.84 44.82 15.90 77.10 3 14.86 59.67 1.78 78.88 4 11.85 71.52 0.60 79.48 5 9.77 81.29 0.13 79.61