---------------------------- Original Message ----------------------------
Subject: tpsPLS troubles
From:    [EMAIL PROTECTED]
Date:    Tue, January 8, 2008 10:07 am
To:      "morphmet" <[email protected]>
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Dear all,
I hope you had an happy christmas and good new year.
Unfortunately, I have several problems with the results obtained on
the same landmark dataset independently on tpsPLS and Ntsys ver 2.20 N.
There are several discrepancies after the permutation test. Below I
report the output obtained for the same dataset of landmark data for
only 7 specimens. I suppose that there should be a problem of sample
size: do you know any problem associated to sample size in Partial
Least Sqaure Analysis?
I appreciate any help to understand this kind of results.
Best wishes
Carlo Meloro

Below is the example with
with a small dataset of 7 specimens:
Results for 7 specimens (Block 1 = 9lnd, Block 2 = 5 lnd) with tpsPLs:
"
Number and percent of squared singular values >= observed
(Expressed as a proportion of the total.)

    Dim.  Observed  Count  Percent
       1  0.939037     58     5.80%
       2  0.049432    921    92.10%
       3  0.007188    876    87.60%
       4  0.003313    698    69.80%
       5  0.000905    549    54.90%

Number and percent of cumulative squared singular values >= observed
(Expressed as a proportion of the total.)

    Dim.  Observed  Count  Percent
       1  0.939037     58     5.80%
       2  0.988470    137    13.70%
       3  0.995657    309    30.90%
       4  0.998970    422    42.20%
       5  0.999876    367    36.70%

HERE THE CUMULATIVE PERCENTAGE DOES NOT APPROACH 100%

Number and percent of correlations >= observed

    Dim.  Observed Count  Percent
       1  0.780128   225    22.50%
       2  0.479620   873    87.30%
       3  0.770183   288    28.80%
       4  0.663578   563    56.30%
       5  0.615494   683    68.30%
       6  0.589321   840    84.00%
"
 From this report no correlation between Singular Axis is significant.


Same Results of permutation test from Ntsys:
"
(Note: counts include observed and small percentages imply "significance")

Number and percent of squared singular values >= observed
(Expressed as a proportion of the total.)

    Dim.  Observed  Count  Percent
       1  0.939037     56     5.60%
       2  0.049432    920    92.00%
       3  0.007188    837    83.70%
       4  0.000905    796    79.60%
       5  0.000124    905    90.50%

Number and percent of cumulative squared singular values >= observed
(Expressed as a proportion of the total.)

    Dim.  Observed  Count  Percent
       1  0.939037     56     5.60%
       2  0.988470    130    13.00%
       3  0.995657    279    27.90%
       4  0.996563    722    72.20%
       5  0.996687    801    80.10%

Number and percent of correlations >= observed:

    Dim.  Observed Count  Percent
       1  0.780128    51     5.10%
       2  0.479620    81     8.10%
       3  0.770183    12     1.20%
       4  0.615494    92     9.20%
       5  0.589321    62     6.20%
       6  0.663578    26     2.60%

 From this report the correlation obtained for Dimensions 3 and 6 are
significant. The first Dimension approaches significance at 0.05 level
(5.10 %).
Note that there is a large discrepancy in Number and percent of
correlations >= observed from tpsPLS and Ntsys output.



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