Hello,=0D
=0D
I just noticed that the "svd" function does not work properly for some=0D
sparse matrices.=0D
When I replace the 0 by very small noises (let's say 10^-16), it then=0D
works.=0D
The test I've performed is to compared the singular values to the eigen=0D
values (as I work with squarred matrices).=0D
=0D
Here is the code (I may be wrong!):=0D
=0D
usHigh<-(Sp5>=3D300 & Region=3D=3D1)=0D
usLow<-(Sp5<300 & Region=3D=3D1)=0D
euHigh<-(Sp5>=3D200 & Region=3D=3D2)=0D
euLow<-(Sp5<200 & Region=3D=3D2)=0D
sigmas<-c(13.71,162.71,8.78,103.83,5.29,77.08,3.42,41.04)=0D
temp1<-sigmas[1]*usLow+sigmas[2]*usHigh+sigmas[5]*euLow+sigmas[6]*euHigh=0D
temp10<-sigmas[3]*usLow+sigmas[4]*usHigh+sigmas[7]*euLow+sigmas[8]*euHig=0D
h=0D
CorrEU<-0.89=0D
CorrUS<-0.82=0D
=0D
CorrR<-matrix(0,2*SN.nb,2*SN.nb)=0D
diag(CorrR)<-c(temp1^2,temp10^2)=0D
=0D
temp<-ifelse(Region=3D=3D1,CorrUS,CorrEU)=0D
tempMat<-matrix(0,SN.nb,SN.nb)=0D
diag(tempMat)<-temp*temp1*temp10=0D
CorrR[(SN.nb+1):(2*SN.nb),1:SN.nb]<-tempMat=0D
CorrR[1:SN.nb,(SN.nb+1):(2*SN.nb)]<-tempMat=0D
=0D
CorrR is positive definite but "svd" returns negative singular values!=0D
When replacing 0s by very week noises, the error disppears.=0D
=0D
Hope I'm not saying stupid things.=0D
=0D
Rgds,=0D
=0D
Mehdi=0D
=0D
=0D
=0D
=0D
=0D
=0D
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