Dear R Community- I am a new user of R. I am using R with GRASS GIS. I would apply svm "on" raster data in GRASS. Basically I have a raster with "areas training" and other three raster (each represents a band of ASTER satellite image). My goal is to classify, according to training areas, the 3 raster. Trying to replicate the guides found on the net, I did the following: # load raster Training<-readRAST6("Training") AST_L1B_1<-readRAST6("AST_L1B_1") AST_L1B_2<-readRAST6("AST_L1B_2") AST_L1B_3N<-readRAST6("AST_L1B_3N") #and then model_ASTER <- svm(Training_2006,AST_L1B_1,AST_L1B_2,AST_L1B_3N,type='C',kernel='linear') #but Errore in data.frame(y, x) : arguments imply differing number of rows: 1857076, 1488 Thanks for any help -- View this message in context: http://r.789695.n4.nabble.com/svm-with-GRASS-GIS-tp4388006p4388006.html Sent from the R help mailing list archive at Nabble.com.