I have 4 EVs: original.txt is the 4 EVs (original.txt, one EV one column)
and I want to
remove from EV1 the parts which is related to EV2, EV3 and EV4. That is let
EV1 reflected its unique variances. I am trying to understand how the
orthogonalise works. 

First, I tried to use Matlab to do the orthogonalization, I did demean for
all of them and then, I did something
like this
A1 = A - B.*(A'*B)/(B'*B)
A2 = A1 - C.*(A1'*C)/(C'*C)
A3 = A2 - D.*(A2'*D)/(D'*D)
I get matlab.txt

Then, I used FEAT -> States -> Full model setup to do the
orthogonalise. Under the first EV, I clicked orthogonalise (see FEAT.txt,
the first column is wrt 2, the second is wrt 2 and 3, the third column is
wrt 2, 3 and 4).
If i just orthogonalise EV1 wrt 2, the reults from matlab and FSL are
exactly same. 
If I orthogonalise EV1 wrt 2 and 3,  the reults from matlab and FSL are
almost same. 
But when I  I orthogonalise EV1 wrt 2, 3 and 4  the reults from matlab and
FSL are not that same. I don't why. 

Can anyone help me figure that out?


Thanks,

Ning



  -3.4324290e+00  -3.3128000e+00  -1.5990000e+00
  -1.8074020e+00  -1.2759000e+00   9.4800000e-02
  -5.0148980e-01   6.0990000e-01   1.4316000e+00
  -3.5613650e-01   9.7710000e-01   1.5758000e+00
  -1.0469160e+00  -2.8600000e-02   6.9140000e-01
  -1.7537600e+00  -1.0260000e+00  -3.4730000e-01
  -1.4519020e+00  -6.8060000e-01  -2.6600000e-01
  -7.1463480e-01   2.8150000e-01   4.9280000e-01
  -2.4570960e-01   7.0580000e-01   8.8050000e-01
  -9.7154550e-01  -4.0550000e-01  -1.9110000e-01
  -2.0497140e+00  -1.7951000e+00  -1.6020000e+00
  -1.8064410e+00  -1.3407000e+00  -1.5232000e+00
  -7.5125320e-01   2.9490000e-01  -6.3740000e-01
   7.9451350e-02   1.2287000e+00   2.8700000e-02
   2.1144050e-01   7.1560000e-01   4.8000000e-03
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   2.7536590e-01   2.3320000e-01   1.2040000e-01
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   1.4846900e+00   6.3600000e-01   8.4480000e-01
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  -2.0264509e+00   3.1138000e+00  -1.2692000e+00  -1.1161000e+00





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   6.4993555e-01   1.6240000e-01   9.2000000e-02   3.9870000e-01
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   2.2108184e+00   2.1394000e+00   1.2958000e+00   5.3460000e-01
   1.8759324e+00   1.6790000e+00   1.0854000e+00   4.1870000e-01
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   3.2629188e+00   1.6090000e+00   1.4461000e+00   7.0410000e-01
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   2.3311552e-01   6.3430000e-01  -8.6190000e-01   1.4300000e-02
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   2.3309903e-01   1.5648000e+00   1.8450000e-01   4.1220000e-01
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