version 1.5
    * for scilab 2025.0.0
    * removed all functions using c or cpp code -too many compilation issues-
    * speed of regressions e.g. pls was dramatically increased

version 1.4
    *for scilab 2023.1.0+
    * added nnpls functions 
    * added the management of repetitions in cross-validation of regression functions
    * improved the discrimination functions

Version 1.3
    * for scilab 6.1.1+
    * added: dimension_tune, pop_dtop_optim, glx_mb_verify
    * reincorporated the C and C++ functions (neural networks, obiwarp) for Linux

Version 1.2
    * for scilab 6.1.0+
    * C and C++ functions disabled for Linux and Windows

Version 1.1
    * for scilab 6.0.2+
    * updated: covsel
    * updated: functions for Galaxy/Chemflow

Version 1.00
    * for scilab 6.0.2+ 
    * updated: calstackedpls, cdel, classplsda, classtestxx, cvclass, emsc, kernel_rebuild, msc, nns_buildbayes, normalize, rdel, savgol, snk
    * updated: cvxx
    * added: plsfda, emsc, methodvalidexact, arand_index 
    * added: obiwarp, obi_getpath, div2lmata, div2lmat, lmata2div

version 0.10
    * classification functions updated (classfda, classknnda, classtestknnda, classtestxx, cvclass, cvclass2, daapply, knnda)
    * div2mat and glx_mat2div improved 
    * pds_calc and pds_apply improved 
    * pop_dtune and popapply improved 
    * function msc added 

version 0.9
    * compatible scilab 5.5.x and 6.0
    * plsda improved with the use of the pls2 algorithm simpls

version 0.8
    * errors corrected in the help of the eros and epoe functions
    * updated div2tab, div2mat and glx_xml2x3D
    * updated pcana and cspcana outputs (mean-stdev)
    * plsda modified: performs a PLS-1 on the disjunctive matrix
    * bug fixed in cvgroups
    * names corrected in glx_resreg2xml and glx_xml2resreg
    * added pcaapply, acom1, simufilters, pds_calc, pds_apply
    * added pop_dtop, pop_dtop_optim

version 0.7
    * bug fixed, the English help was not available
    * bug fixed in PLS-DA (previously limited to 2 classes)
    * bug fixed in cvgroups
    * output of function standardize set to the Div format 
    * functions csv2div, dcsv2div, div2csv, div2dcsv, pcana, calpcr improved (speed)
    * functions csv2div2, dcsv2div2 added 
    * function snk improved: added f-values as output 
    2016, April, 5.

version 0.6
    * bug fixed in cvxx
    * neural network functions added: nns_buildbayes, nns_init, nns_simul, 
	nns_simulbis, nns_simulter, calnnpls
    * caltestxx adapted to models yielding only ypred (not scores or loadings)
    * corrcoef removed (useless)
    2015, May, 26.

version 0.5 
    * the help is presented with folders and subfolders
    * method ICA completed
    * bugs corrected in the discriminant analysis methods
    * output of the Savitsky-Golay function modified
    * minor modifications or updates in the following functions: 
      centering, membership, normc, regplot, snk, snv, std
    2014, October, 20.

version 0.4
    * bug corrected in: corrmat.sci
	* new methods added:
		- stacked PLS  
		- orthogonal signal correction (OSC);
		- independent component analysis (ICA);
		- Statis latent discriminant analysis (Statis-LDA);
	* function added: div2dcsv; to export only the data to .CSV;
	* functions slightly modified: conj2dis, cvgroups, cvxx.
	2014, April, 24.

version 0.3
	* release of the test version.
	2013, November, 15.
   
