\begin{table}%t4
\caption{\label{tab-chi}Spectral classification and rotational broadening.}
%\centerline
 {\small \begin{tabular}{lccccc}
\hline \hline \noalign{\smallskip}
Template &Spectral & $v \sin i^{a}$ (km~s$^{-1}$) & $f$  &$\chi^2_{\nu}$ &  $v \sin i^{b}$ (km~s$^{-1}$)  \\
 &type & ($\mu=0.5$)& &(d.o.f.~=~496) & [$\mu=0.0$, $\mu$ at continuum] \\ 
\hline  \noalign{\smallskip}
HD10780  & K0~V	   & $89.5 \pm 1.2$ & $1.20 \pm 0.01$ & 2.1 & [$84.7 \pm 1.8$, $91.4 \pm 2.0$] \\ 
HD10476  & K1~V	   & $89.6 \pm 1.2$ & $1.17 \pm 0.01$   & 1.8 & [$84.8 \pm 1.6$, $91.2 \pm 4.3$] \\
HD16160  & K3~V	   & $89.0 \pm 1.2$ & $0.97 \pm 0.01$   & 1.0 & [$84.3 \pm 1.2$, $91.1 \pm 1.3$] \\ 
HD 6660   & K4~V	   & $87.7 \pm 1.2$ & $0.728\pm 0.007$ & 1.0 & [$83.2 \pm 1.1$, $90.0 \pm 1.1$] \\
HD10436  & K5~V	   & $86.9 \pm 0.6$ &$ 0.785 \pm 0.008$ & 0.9 & [$82.4 \pm 1.2$, $89.4 \pm 1.3$] \\
\hline
\end{tabular}}
\medskip
$^{a}$ Uncertainties are 1-$\sigma$ corresponding to $\chi^{2}_{\min}+1$ (Lampton et~al. 1976);
$^{b}$ uncertainties are 1-$\sigma$ and were estimated using the Monte-Carlo method by simulating a total of 1~000~000~copies of our target spectrum using the bootstrap technique outlined in \cite{steeghs+jonker07-1}. 
\end{table}