ingredients =

     7    26     6    60
     1    29    15    52
    11    56     8    20
    11    31     8    47
     7    52     6    33
    11    55     9    22
     3    71    17     6
     1    31    22    44
     2    54    18    22
    21    47     4    26
     1    40    23    34
    11    66     9    12
    10    68     8    12

>> [a,b] = pca(zscore(ingredients),4)

a =

    2.2357
    1.5761
    0.1866
    0.0016


b =

   -0.4760    0.5090    0.6755    0.2411
   -0.5639   -0.4139   -0.3144    0.6418
    0.3941   -0.6050    0.6377    0.2685
    0.5479    0.4512   -0.1954    0.6767


>> [pc,score,latent, tsquare] = princomp(zscore(ingredients))

pc =

    0.4760   -0.5090    0.6755    0.2411
    0.5639    0.4139   -0.3144    0.6418
   -0.3941    0.6050    0.6377    0.2685
   -0.5479   -0.4512   -0.1954    0.6767



latent =

    2.2357
    1.5761
    0.1866
    0.0016

>> mds = MatlabModelDataSanitizer(ingredients,[], 4, [-2],true)
Calls written & deleted to: /tmp/lastoutput-mds-7
 
mds =
 
ca.ubc.cs.beta.smac.matlab.MatlabModelDataSanitizer@498fe417
 
>> mds.getPCACoefficients()

ans =

    2.2357
    1.5761
    0.1866
    0.0016

>> mds.getPCAVectors()

ans =

    0.6767   -0.1954    0.4512    0.5479
    0.2685    0.6377   -0.6050    0.3941
    0.6418   -0.3144   -0.4139   -0.5639
    0.2411    0.6755    0.5090   -0.4760