# NOT RUN {
## We show below an example considering time series from the
## logistic equation. The first objetc is a matrix called
## Network.set. It contains the networks that have the best
## fit for each embedding dimension (3<m<4).
data<-logistic.ts(u.min=4,u.max=4,B=100,doplot=FALSE)
ts<-data$`Logistic 100`$time.serie
jacob<-jacobi(ts,lag=1,timelapse="FIXED",M0=3,M1=4,
H0=3,H1=7,I=10,pre.white=TRUE,doplot=FALSE)
show(jacob$Network.set)
## The partial derivatives of the jacobian are saved on a
## data frame for each neural network structure considered
## by keeping to Jacobian.net. The first ten jacobian values
## corresponding to the neural network for m=4 are showed.
show(head(jacob$Jacobian.net2, 10))
# }
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