\begin{figure}
{\footnotesize
\begin{center}
\begin{tabular}{r|rrrrrrrr}
data set   &    Type=C &   NoM   &   Setters  &  Getters    &   InDegrees &TransInDegree &LOC  &  beta_0\\\hline
ant-1.3    &     &  &  -0.0221  &    & +  0.0615  & + -0.0618   & + 0.0009  & + 0.0769\\
ant-1.4    &     &  &   0.0136  &    & + -0.0041  & +  0        & + 0.2454  & \\
ant-1.5    &     &  0.0067 & +  0.0330  & +  -0.0438   & +  0.0176  & +  0        &       & \\
ant-1.6    &     &  0.0686 &  & +  -0.0751   & + -0.1144  & +  0        & + 0       & \\
ant-1.7    &     &  0.044  &   & +  -0.0476   &  &    & + 0.0009  & + -0.1059\\
lucene-2.0 &     & + 0.1725 & +  0.4371  &    & +  0.3685  & + -0.3002   &       & + -0.3843\\
lucene-2.2 &  -1.2156  & + 0.2514 & +  1.078   &    & + -0.0904  & + 0.0875    & + -0.0012 & + 0.7194\\
lucene-2.4 &  -0.7980  & + 0.1834 & + -0.6486  & +   0.1452   & + -0.1727  & + 0.227     &       & + 0.7439\\
xalan-2.4  &     & + 0.0104 &  &    & +  0.0208  & + -0.0159   & + 0.0003  & + 0.0546\\
xalan-2.5  &   0.3002  & + 0.0121 & +  0.0533  &    & +  0.0183  & + -0.0143   & + 0.0002  & + 0.1552\\
xalan-2.6  &     & + 0.0171 & +  0.0817  & +  -0.0397   & +  0.0048  &         & + 0.0005  & + 0.3081\\
xalan-2.7  &   0  &   &   0.1093  & +  -0.0399   & +  0.0059  &         & + 0.0004  & + 1.1288
\end{tabular}
\end{center}}
\caption{Linear regression models predicting defects using ``popularity'' measures.}\label{fig:eq}
\end{figure*}