which data structure to choose to keep multile objects?

I have a function called nnmf which takes in one matrix and ?returns two
matrices. for example,

X

? ? [,1] [,2] [,3] [,4]
[1,] ? ?1 ? ?4 ? ?7 ? 10
[2,] ? ?2 ? ?5 ? ?8 ? 11
[3,] ? ?3 ? ?6 ? ?9 ? 12

z=nnmf(X,2)

z$W

? ? ? ? ?[,1] ? ? ?[,2]
[1,] 0.8645422 0.6643681
[2,] 1.7411863 0.5377504
[3,] 2.6179287 0.4111063

z$H

? ? ? ? ? [,1] ? ? [,2] ? ? [,3] ? ? [,4]
[1,] 1.14299486 1.692260 2.241279 ?2.79030
[2,] 0.01838514 3.818559 7.619719 11.42087

----------------------------------------

Now I would like to run it many times --

z2 = nnmf(X,2)
z3 = nnmf(X,3)
z4 = nnmf(X,4)
z5 = nnmf(X,5)
...

But I would like to do it automatically , something like -

xprocess<-function(max_val) {
? for (iter in ?2: max_val) {

? ? ?zz = sprintf( "z%s", iter )

? ? ?zz <-nnmf(X,iter)

? }

}

xprocess(10)


----

But how could I keep collection of my results each run?

Shall I have a data structure to keep appending results?

something like

theta = {}

?

which data structure to choose to keep multile objects?

Thanks!

Tim

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