Hello MixOmics team
I am using perf to test the performance of plsda for my data, but it shows the following errors:
the basic information is
- raw peak areas on GC-TOF-MS data without normilzation for plsda analysis
- 15 samples with each 1825 features after mzMine treatment
perf.TR.plsda <- perf(plsda.TR,
-
validation = "Mfold",
-
folds = 5)
Error in solve.default(Sr) :
system is computationally singular: reciprocal condition number = 3.94774e-17
In addition: Warning messages:
1: In MCVfold.spls(X, Y, multilevel = multilevel, validation = validation, :
At least one class is not represented in one fold, which may unbalance the error rate.
Consider a number of folds lower than the minimum in table(Y): 4
2: In MCVfold.spls(X, Y, multilevel = multilevel, validation = validation, :
At least one class is not represented in one fold, which may unbalance the error rate.
Consider a number of folds lower than the minimum in table(Y): 4
3: In MCVfold.spls(X, Y, multilevel = multilevel, validation = validation, :
At least one class is not represented in one fold, which may unbalance the error rate.
Consider a number of folds lower than the minimum in table(Y): 4
4: In MCVfold.spls(X, Y, multilevel = multilevel, validation = validation, :
At least one class is not represented in one fold, which may unbalance the error rate.
Consider a number of folds lower than the minimum in table(Y): 4
5: In MCVfold.spls(X, Y, multilevel = multilevel, validation = validation, :
At least one class is not represented in one fold, which may unbalance the error rate.
Consider a number of folds lower than the minimum in table(Y): 4
6: In MCVfold.spls(X, Y, multilevel = multilevel, validation = validation, :
At least one class is not represented in one fold, which may unbalance the error rate.
Consider a number of folds lower than the minimum in table(Y): 4
7: In MCVfold.spls(X, Y, multilevel = multilevel, validation = validation, :
At least one class is not represented in one fold, which may unbalance the error rate.
Consider a number of folds lower than the minimum in table(Y): 4
8: In MCVfold.spls(X, Y, multilevel = multilevel, validation = validation, :
At least one class is not represented in one fold, which may unbalance the error rate.
Consider a number of folds lower than the minimum in table(Y): 4
9: In MCVfold.spls(X, Y, multilevel = multilevel, validation = validation, :
At least one class is not represented in one fold, which may unbalance the error rate.
Consider a number of folds lower than the minimum in table(Y): 4
I am looking forward to your reply. Thanks in advance!
Best wishes,
Weichao Wu