majorcl: Major rules of classification
In yewei369/clotu: Classification of OTUs

Implement major rules to classify an arbitrary observation against all targets

1	majorcl(tr, shrink.mode, esti.mode, cl.mode = 0, thr = 0, nvar = 75)

`tr,`	trained object by trotu function
`shrink.mode,`	digits for shrinking method, 0 for Kaul's method, 1 for Jun Li's
`esti.mode,`	digits for covariance estimating method, 0 for Kaul's method, 1/2/3 for Jun Li's 1st/2nd/3rd method
`cl.mode,`	digits for classifying rule, 0 for the one in Kaul's software, 1 for the one in Kaul's paper
`thr,`	threshold for zombie OTU
`nvar,`	number of OTUs after shrinking