--- a/flys-artifacts/src/main/java/de/intevation/flys/artifacts/model/fixings/FixCalculation.java	Tue Jun 05 13:56:55 2012 +0000
+++ b/flys-artifacts/src/main/java/de/intevation/flys/artifacts/model/fixings/FixCalculation.java	Tue Jun 05 14:56:57 2012 +0000
@@ -169,30 +169,27 @@
         final double [] qs = new double[eventColumns.size()];
         final double [] ws = new double[qs.length];
 
-        // Depending on preprocessing we need to find the outliers.
-        Fitting.QWFactory qwFactory = !preprocessing
-            ? null // No outliers
-            : new Fitting.QWFactory() {
-                @Override
-                public QW create(double q, double w) {
-                    // Check all the event columns for close match
-                    // and take the description and the date from meta.
-                    for (int i = 0; i < qs.length; ++i) {
-                        if (Math.abs(qs[i]-q) < EPSILON
-                        &&  Math.abs(ws[i]-w) < EPSILON) {
-                            Column column = eventColumns.get(i);
-                            return new QW(
-                                q, w,
-                                column.getDescription(),
-                                column.getDate());
-                        }
+        Fitting.QWFactory qwFactory = new Fitting.QWFactory() {
+            @Override
+            public QW create(double q, double w) {
+                // Check all the event columns for close match
+                // and take the description and the date from meta.
+                for (int i = 0; i < qs.length; ++i) {
+                    if (Math.abs(qs[i]-q) < EPSILON
+                    &&  Math.abs(ws[i]-w) < EPSILON) {
+                        Column column = eventColumns.get(i);
+                        return new QW(
+                            q, w,
+                            column.getDescription(),
+                            column.getDate());
                     }
-                    log.warn("cannot find column for (" + q + ", " + w + ")");
-                    return new QW(q, w);
                 }
-            };
+                log.warn("cannot find column for (" + q + ", " + w + ")");
+                return new QW(q, w);
+            }
+        };
 
-        Fitting fitting = new Fitting(func, qwFactory);
+        Fitting fitting = new Fitting(func, qwFactory, preprocessing);
 
         String [] parameterNames = func.getParameterNames();
 
@@ -205,7 +202,8 @@
             log.debug("number of kms: " + kms.length);
         }
 
-        KMIndex<QW []> outliers = new KMIndex<QW []>();
+        KMIndex<QW []> outliers   = new KMIndex<QW []>();
+        KMIndex<QW []> referenced = new KMIndex<QW []>(kms.length);
 
         int kmIndex             = results.columnIndex("km");
         int chiSqrIndex         = results.columnIndex("chi_sqr");
@@ -232,6 +230,8 @@
                 continue;
             }
 
+            referenced.add(km, fitting.referencedToArray());
+
             if (fitting.hasOutliers()) {
                 outliers.add(km, fitting.outliersToArray());
             }
@@ -259,9 +259,13 @@
             calculateAnalysisPeriods(func, results, overview);
 
         outliers.sort();
+        referenced.sort();
         analysisPeriods.sort();
 
-        FixResult fr = new FixResult(results, analysisPeriods, outliers);
+        FixResult fr = new FixResult(
+            results, 
+            referenced, outliers,
+            analysisPeriods);
 
         return new CalculationResult(fr, this);
     }