## S3 method for class 'PTAk':
plot(x, labels = TRUE, mod = 1, nb1 = 1, nb2 = NULL,
    coefi = list(NULL, NULL), xylab = TRUE, ppch = (1:length(solution)),
    lengthlabels = 2, scree = FALSE, ordered = TRUE,
    nbvs = 40, RiskJack = NULL, method = "",ZoomInOut=NULL, Zlabels=NULL, ...)
RiskJackplot(x, nbvs = 1:20, mod = NULL, max = NULL, rescaled=TRUE, ...)PTAk, representing a generalised  singular value decompositionTRUE plots the labels given in solution[[mod]]["n"]summary.PTAkNULL the horizontal
axe will be used  as Index (see plot.default)nb1 and nb2
and are vectors of dimentions the tensor orderlength(mod) used for pch=summary.PTAkNULL is a integer,  scree is TRUE and ordered is TRUE, plots
on top of the scree plot a Risk plot with maximum dimension: 
min(RiskJack+length(nbvs),length(solution[[k]][["d"]])). It is
possible t"", a value "FCA" is to be used only
if solution is after an FCA with SVDgenx[[mod]]$n, it  is a list with the same length as all modes. For example on 3 modes changing the labels of the second mode only will have to set Zlabels=list(NULL,rep("a",length(x[[2]]$n) ), NULL )xlim, ylim,ylab,pch,xaxt for component plot,
and xlab, ylab for screeplot)plot.default at
some point some added features can be used in the ... part, especially
xlab= may be useful when nb2=NULL. Plots are superposed as they
correspond to the same Principal Tensor and so this gives insight to
interpretation of it, but careful is recommended as only overall
interpretation, once the Principal Tensor has been rebuilt mentally
(i.e. product of signs ...) to work out oppositions or associations. The
risk plot on top of a screeplot is an approximation of the Jacknife estimate of
the MSE in the choice of number of dimensions (see Besse et al.(1997)).Leibovici D (2000) Multiway Multidimensional Analysis for Pharmaco-EEG
Studies.(submitted) 
PTAk, PTA3,
FCAk,SVDgen#  see the demo function   source(paste(R.home(),"/ library/PTAk/demo/PTA3.R",sep=""));
# or    source(paste(R.home(),"/ library/PTAk/demo/PTAk.R",sep=""));
 
 # demo.PTA3()Run the code above in your browser using DataLab