NaN produced by SSVD ?

we are running ssvd on a dataset (this one is relatively small, with 8000
rows, number of columns is 64 ), we ran it with rank = 58, since sampling
p=5.

the result had NaN on multiple columns.

why would this appear ?

I am now running with lower rank=20 , to see if it goes away.

Thanks
Yang