Hello there

mixOmics did a great job in my study area. When i run the example, like:

```
data(breast.tumors)
X <- breast.tumors$gene.exp
Y <- breast.tumors$sample$treatment
splsda.breast <- splsda(X, Y, ncomp = 2, keepX = c(25, 25))
auc.splsda = auroc(splsda.breast, roc.comp = 2)
```

it will get ROC plot, like:

and i want to get the plot data, like:

`auc.splsda$graph.Comp2$data`

Well, i dont understand why the plot data just look like below, it doesn’t seem to correspond to the plot result. Actuall, when i use the data with more than 4 groups, the same problem was shown which the data doesnt correspond to the plot result. So, am i understand right about this problem? How can i get the ROC plot data?

```
Specificity Sensitivity Outcome
(1.24, Inf] 100 100.000000 AF vs BE : 1
(1.16,1.24] 95 100.000000 AF vs BE : 1
(1.1,1.16] 90 100.000000 AF vs BE : 1
(1.07,1.1] 85 100.000000 AF vs BE : 1
(1.06,1.07] 80 100.000000 AF vs BE : 1
(1.05,1.06] 75 100.000000 AF vs BE : 1
(1.02,1.05] 70 100.000000 AF vs BE : 1
(0.977,1.02] 65 100.000000 AF vs BE : 1
(0.953,0.977] 60 100.000000 AF vs BE : 1
(0.919,0.953] 55 100.000000 AF vs BE : 1
(0.869,0.919] 50 100.000000 AF vs BE : 1
(0.845,0.869] 45 100.000000 AF vs BE : 1
(0.831,0.845] 40 100.000000 AF vs BE : 1
(0.818,0.831] 35 100.000000 AF vs BE : 1
(0.775,0.818] 30 100.000000 AF vs BE : 1
(0.727,0.775] 25 100.000000 AF vs BE : 1
(0.717,0.727] 20 100.000000 AF vs BE : 1
(0.687,0.717] 15 100.000000 AF vs BE : 1
(0.581,0.687] 10 100.000000 AF vs BE : 1
(0.427,0.581] 5 100.000000 AF vs BE : 1
(0.341,0.427] 0 0.000000 AF vs BE : 1
(0.302,0.341] 0 3.703704 AF vs BE : 1
(0.269,0.302] 0 7.407407 AF vs BE : 1
(0.24,0.269] 0 11.111111 AF vs BE : 1
(0.2,0.24] 0 14.814815 AF vs BE : 1
(0.184,0.2] 0 18.518519 AF vs BE : 1
(0.18,0.184] 0 22.222222 AF vs BE : 1
(0.176,0.18] 0 25.925926 AF vs BE : 1
(0.166,0.176] 0 29.629630 AF vs BE : 1
(0.126,0.166] 0 33.333333 AF vs BE : 1
(0.0923,0.126] 0 37.037037 AF vs BE : 1
(0.0869,0.0923] 0 40.740741 AF vs BE : 1
(0.082,0.0869] 0 44.444444 AF vs BE : 1
(0.0714,0.082] 0 48.148148 AF vs BE : 1
(0.0588,0.0714] 0 51.851852 AF vs BE : 1
(0.0518,0.0588] 0 55.555556 AF vs BE : 1
(0.0372,0.0518] 0 59.259259 AF vs BE : 1
(0.00668,0.0372] 0 62.962963 AF vs BE : 1
(-0.0319,0.00668] 0 66.666667 AF vs BE : 1
(-0.0604,-0.0319] 0 70.370370 AF vs BE : 1
(-0.0722,-0.0604] 0 74.074074 AF vs BE : 1
(-0.0955,-0.0722] 0 77.777778 AF vs BE : 1
(-0.131,-0.0955] 0 81.481481 AF vs BE : 1
(-0.175,-0.131] 0 85.185185 AF vs BE : 1
(-0.217,-0.175] 0 88.888889 AF vs BE : 1
(-0.239,-0.217] 0 92.592593 AF vs BE : 1
(-Inf,-0.239] 0 96.296296 AF vs BE : 1
0 100.000000 AF vs BE : 1
```