data input options, data normalization, etc.:
c:\FACTOR\Andrea_2\   ! Data files directory
3                                 ! Total number of files n (min 2 max 9999)
1                                  ! First file number
n                                  ! Prefix ? (if no, next line is ignored)
u8-                                ! Prefix (max 50 char)
n                                  ! Suffix ? (if no, next line is ignored)
ath                                ! Suffix (max 50 char)
txt                                ! Extension (without dot)
3723                                  ! Lower limit of abscissa
3730                              ! Upper limit of abscissa
1                                  ! Read in each N-th data point; N = 
n                                  ! Add noise to the data ?
0.01                               ! Noise amplitude
n                                  ! y-weighting (Y=y*x^weighting) ?
3                                  ! weighting value
y                                  ! normalize spectra (y/sqrt(variance(y))) ? 
n                                  ! center and normalize spectra (y-mean_y)/data_points/sqrt(variance(y)) ?
PRINCIPAL COMPONENT ANALYSIS (PCA) and VARIMAX:
3                                ! Number of expected components (PCA) 
n                                  ! Fourier transf. of eigenvectors, exp. data and abstr. reproductions ? (PCA)
0.5                                ! Graphical y-offset for Fourier transforms (PCA) 
-0.001                                ! Graphical y-offset for abstract reproductions (PCA)
1                                  ! Use the abscissa scale from file number n for interpolation on unique x axis (PCA)
ITERATIVE TARGET TEST (ITT):
fract2.txt                           ! Concentration test vector filename (ITT)
n                                  ! Suppress double concentration maxima ? (ITT)
n                                  ! Fourier transform of the component spectra ? (ITT)
0                                  ! Graphical y-offset the component spectra (ITT)
y                                  ! adjust sum of relative component concentrations to 1 ? (ITT)
n                                  ! de-normalize ? (ITT) (if the spectra were normalized with (y/sqrt(variance(y)), see above) 
0                                  ! y-weighting of the component spectra (ITT)