Release 0.9.8 introduces a new function flm.test() that 
allows to test for the Functional Linear Model with scalar 
response for a given dataset. Is based on the new functions 
PCvM.statistic(), Aijr() and rber.gold().
A bug in fregre.kgam has been fixed. 

Release 0.9.7
New functions: 
fregre.kgam, classif.kgam, dev.S,
predict.fregre.kgam,print.fregre.kgam, 
summary.fregre.kgam, fregre.gsam, 
classif.np, classif.kgam, classif.gsam.

New argument par.S in: fregre.np, 
fregre.np.cv, fregre.plm,S.NW, 
S.KNN, S.LLR.

New attributes for: metric.lp, 
semimetric.basis and semimetric.NPFDA


Release 0.9.6 renames the functions: 
  pc.fdata()-->fdata2pc()
  pls.fdata()-->fdata2pls()
  pc.cor-->summary.fdata.comp()
  pc.fdata-->summary.fdata.comp()
It added create.pls.basis, Math.fdata, 
Ops.fdata, Summary.fdata and
dis.cos.cor() function.

New argument par.S in: fregre.np, 
fregre.np.cv, fregre.plm,
New argument cv in: S.NW,S.KNN, S.LLR,
In metric.lp the argument p now is called lp.



Release 0.9.5 improves fdata.bootstrap() function
(better computational efficiency). It introduces a new 
functions: for Partial Linear Square (pls.fdata(), fregre.pls() 
and fregre.pls.cv()) and Simpson integration (int.simpson()
and int.simpson2()). It modifies the functions metric.lp(), 
inprod.fdata(), summary.fregre.fd() and predict.fregre.fd().

 
Release 0.9.4 added 3 script files: Outliers_fdata.R, 
flm_beta_estimation_brownian_data.R and Classif_phoneme.R.
It has introduced the functions fregre.glm() and 
predict.fregre.glm() which allow fit and predict
respectively Functional Generalized Linear Models.
It has introduced the functions create.pc.basis and 
create.fdata.basis  which allow to create basis objects
for functional data of class "fdata".

Release 0.9 introduces a new function h.default() that 
simplifies the calculation of the bandwidth parameter
"h" in the functions: fregre.np(), fregre.np.cv() and fregre.plm().  
In most of the functions has added a stop control when the
dataset has missing data (NA's). It adds the attribute "call"
to the distance  matrix calculated in metric.lp, 
semimetric.basis()  and semimetric.NPFDA() functions.