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Table 9 Multivariate model set evaluation for MPL

From: Pigmentation in Drosophila melanogaster reaches its maximum in Ethiopia and correlates most strongly with ultra-violet radiation in sub-Saharan Africa

Model

Formula

k

RSS

AdjustedR2

AICc

Model likelihood

w

g08

UV + Temp

4

153.29

0.61

129.82

1.00

0.25

g11

UV + Silt

4

154.44

0.60

130.01

0.91

0.22

g01

UV

3

178.56

0.56

130.97

0.56

0.14

g10

UV + AtmP

4

161.08

0.59

131.11

0.52

0.13

g17

Temp + PC1

4

169.94

0.56

132.50

0.26

0.06

g24

AtmP + PC1

4

170.22

0.56

132.54

0.26

0.06

g13

UV + PC2

4

176.26

0.55

133.45

0.16

0.04

g09

UV + RH

4

178.27

0.54

133.75

0.14

0.03

g12

UV + PC1

4

178.50

0.54

133.78

0.14

0.03

g23

AtmP + Silt

4

194.80

0.50

136.05

0.04

0.01

g16

Temp + Silt

4

211.45

0.46

138.18

0.02

0.00

g05

Silt

3

243.52

0.40

139.04

0.01

0.00

g19

RH + AtmP

4

236.64

0.39

141.11

0.00

0.00

g20

RH + Silt

4

239.69

0.38

141.44

0.00

0.00

g04

AtmP

3

267.16

0.34

141.45

0.00

0.00

g27

All

9

116.06

0.62

141.93

0.00

0.00

g25

AtmP + PC2

4

266.41

0.32

144.19

0.00

0.00

g15

Temp + AtmP

4

266.84

0.31

144.23

0.00

0.00

g02

Temp

3

303.60

0.25

144.77

0.00

0.00

g26

PC1 + PC2

4

278.17

0.29

145.31

0.00

0.00

g06

PC1

3

321.44

0.21

146.26

0.00

0.00

g18

Temp + PC2

4

299.19

0.23

147.21

0.00

0.00

g14

Temp + RH

4

302.17

0.22

147.47

0.00

0.00

g21

RH + PC1

4

315.41

0.19

148.58

0.00

0.00

g07

PC2

3

363.57

0.11

149.46

0.00

0.00

g22

RH + PC2

4

328.39

0.16

149.63

0.00

0.00

g28

naïve

2

423.30

0.00

150.85

0.00

0.00

g03

RH

3

395.63

0.03

151.66

0.00

0.00

  1. UV = UV index, Temp = average maximum temperature, RH = relative humidity, AtmP = atmospheric pressure, PC1 and PC2 = genetic principal components, k = number of parameter estimates, RSS = residual sum of squares, AICc = Akaike information criterion adjusted for the sample size, w = conditional model probability (likelihood of model i divided by the sum of model likelihoods).