ClassifierResult result = null;
for (PreprocClassifier c : classifiers) {
result = c.apply(data);
f = new Matrix(f.add(result.f));
fraw = new Matrix(fraw.add(result.fraw));
<BUG>}
double[] dvColumn = f.getColumn(0);</BUG>
f = new Matrix(dvColumn.length - 1, 1);
f.setColumn(0, Arrays.copyOfRange(dvColumn, 1, dvColumn.length));
if (normalizeLateralization){ // compute alphaLat score

ClassifierResult result = null;
for (PreprocClassifier c : classifiers) {
result = c.apply(data);
f = new Matrix(f.add(result.f));
fraw = new Matrix(fraw.add(result.fraw));
}
if ( f.getRowDimension() > 1 ) {
double[] dvColumn = f.getColumn(0);
f = new Matrix(dvColumn.length - 1, 1);
f.setColumn(0, Arrays.copyOfRange(dvColumn, 1, dvColumn.length));
if (normalizeLateralization){ // compute alphaLat score
