I am wondering about that, how many data could I use for classification in caret package? I mean, what is the upper data limitation for classification methods? I am able to use only svm methods (with non-interface code) whereas I can not use another methods for instance C5, J48, pam, gpls, lda etc.
My data dimensions are 211x242323 ，
R version 3.4.1 (2017-06-30)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)
Matrix products: default
attached base packages:
 stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
 compiler_3.4.1 tools_3.4.1 yaml_2.1.18
My system is 12gb ram, i7-4500u 2.00GHz (4CPUs),~2,6 GHz, ssd sata hdd 250 gb.