\begin{Schunk}
\begin{Sinput}
 predictOMatic(m3)
\end{Sinput}
\begin{Soutput}
$V045117
         V045117 V043116 V043210 V043213          V045145X V041109A        fit
M (30%)        M      ID      No   Worse 1. Extremely good        F -18.476144
C (20%)        C      ID      No   Worse 1. Extremely good        F  -6.589442
SC (20%)      SC      ID      No   Worse 1. Extremely good        F -13.947726
SL (10%)      SL      ID      No   Worse 1. Extremely good        F -21.712903
L (10%)        L      ID      No   Worse 1. Extremely good        F -34.875946

$V043116
         V043116 V045117 V043210 V043213          V045145X V041109A       fit
ID (20%)      ID       M      No   Worse 1. Extremely good        F -18.47614
SD (20%)      SD       M      No   Worse 1. Extremely good        F -40.84086
SR (20%)      SR       M      No   Worse 1. Extremely good        F  41.50739
WD (10%)      WD       M      No   Worse 1. Extremely good        F -16.23570
WR (10%)      WR       M      No   Worse 1. Extremely good        F  26.39827

$V043210
            V043210 V045117 V043116 V043213          V045145X V041109A       fit
No (60%)         No       M      ID   Worse 1. Extremely good        F -18.47614
Allow (30%)   Allow       M      ID   Worse 1. Extremely good        F -26.38670
Med (0%)        Med       M      ID   Worse 1. Extremely good        F -19.60610

$V043213
             V043213 V045117 V043116 V043210          V045145X V041109A         fit
Worse (60%)    Worse       M      ID      No 1. Extremely good        F -18.4761440
Same (30%)      Same       M      ID      No 1. Extremely good        F  -0.7752059
Better (20%)  Better       M      ID      No 1. Extremely good        F   6.6065102

$V045145X
                                                      V045145X V045117 V043116 V043210 V043213 V041109A       fit
1. Extremely good (50%)                      1. Extremely good       M      ID      No   Worse        F -18.47614
2. Very good (30%)                                2. Very good       M      ID      No   Worse        F -26.09885
3. Somewhat good (20%)                        3. Somewhat good       M      ID      No   Worse        F -32.98141
4. Not very good (0%)                         4. Not very good       M      ID      No   Worse        F -33.14812
7. Don't feel anything {VOL} (0%) 7. Don't feel anything {VOL}       M      ID      No   Worse        F -44.71372

$V041109A
        V041109A V045117 V043116 V043210 V043213          V045145X       fit
F (50%)        F       M      ID      No   Worse 1. Extremely good -18.47614
M (50%)        M       M      ID      No   Worse 1. Extremely good -18.76006

attr(,"pnames")
[1] "V045117"  "V043116"  "V043210"  "V043213"  "V045145X" "V041109A"
\end{Soutput}
\end{Schunk}
