stata做主成分分析，如何得到旋转后的特征值

用stata输入pca后，得到如下结果
. pca X1 X7 X8 X9 X12 X13
Principal components/correlation Number of obs = 978
Number of comp. = 6
Trace = 6
Rotation: (unrotated = principal) Rho = 1.0000
--------------------------------------------------------------------------
Component | Eigenvalue Difference Proportion Cumulative
-------------+------------------------------------------------------------
Comp1 | 2.96625 .987567 0.4944 0.4944
Comp2 | 1.97868 .978715 0.3298 0.8242
Comp3 | .999967 .968088 0.1667 0.9908
Comp4 | .0318793 .0105779 0.0053 0.9961
Comp5 | .0213014 .0193801 0.0036 0.9997
Comp6 | .00192127 . 0.0003 1.0000
--------------------------------------------------------------------------
Principal components (eigenvectors)
----------------------------------------------------------------------------------------
Variable | Comp1 Comp2 Comp3 Comp4 Comp5 Comp6 | Unexplained
-------------+------------------------------------------------------------+-------------
X1 | 0.0067 0.0100 0.9998 0.0117 0.0045 -0.0014 | 0
X7 | 0.5744 -0.0107 -0.0132 0.8130 0.0098 0.0936 | 0
X8 | 0.5793 -0.0035 -0.0011 -0.3230 -0.0174 -0.7481 | 0
X9 | 0.5782 -0.0069 0.0027 -0.4842 0.0048 0.6567 | 0
X12 | 0.0097 0.7070 -0.0103 -0.0051 0.7070 -0.0099 | 0
X13 | 0.0074 0.7070 -0.0040 0.0109 -0.7069 0.0141 | 0
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想问，如何得到旋转后的特征值，如下图右边所示，直接输入rotate没有用啊