Thanks for your reply. I have compared my data with some other which works and I cannot see the difference...
The structure of my data is shown below: > str(data) 'data.frame': 19 obs. of 7 variables: $ drug : Factor w/ 19 levels "A","B","C","D",..: 1 2 3 4 5 6 7 8 9 10 ... $ param1 : int 111 347 335 477 863 737 390 209 376 262 ... $ param2 : int 15 13 9 37 24 28 63 93 72 16 ... $ param3 : int 125 280 119 75 180 150 167 200 201 205 ... $ param4 : int 40 55 89 2 10 15 12 48 45 49 ... $ param5 : num 0.5 3 -40 0 5 6 0 45 -60 25 ... $ Class : int 1 2 1 1 2 2 3 3 3 3 ... > summary(data) drug param1 param2 param3 param4 param5 Class A : 1 Min. :111.0 Min. : 2.0 Min. : 75.0 Min. :-20.00 Min. :-60.000 Min. :1.000 B : 1 1st Qu.:253.5 1st Qu.:15.0 1st Qu.:132.5 1st Qu.: 12.00 1st Qu.: 0.000 1st Qu.:1.000 C : 1 Median :335.0 Median :28.0 Median :164.0 Median : 40.00 Median : 6.000 Median :2.000 D : 1 Mean :383.0 Mean :33.0 Mean :166.0 Mean : 35.26 Mean : 4.447 Mean :1.895 E : 1 3rd Qu.:433.5 3rd Qu.:42.5 3rd Qu.:200.5 3rd Qu.: 54.00 3rd Qu.: 20.500 3rd Qu.:2.000 F : 1 Max. :863.0 Max. :93.0 Max. :280.0 Max. : 89.00 Max. : 45.000 Max. :3.000 (Other):13 The structure of the example data which worked is shown below: > str(infert) 'data.frame': 248 obs. of 8 variables: $ education : Factor w/ 3 levels "0-5yrs","6-11yrs",..: 1 1 1 1 2 2 2 2 2 2 ... $ age : num 26 42 39 34 35 36 23 32 21 28 ... $ parity : num 6 1 6 4 3 4 1 2 1 2 ... $ induced : num 1 1 2 2 1 2 0 0 0 0 ... $ case : num 1 1 1 1 1 1 1 1 1 1 ... $ spontaneous : num 2 0 0 0 1 1 0 0 1 0 ... $ stratum : int 1 2 3 4 5 6 7 8 9 10 ... $ pooled.stratum: num 3 1 4 2 32 36 6 22 5 19 ... > summary(infert) education age parity induced case spontaneous stratum pooled.stratum 0-5yrs : 12 Min. :21.00 Min. :1.000 Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. : 1.00 Min. : 1.00 6-11yrs:120 1st Qu.:28.00 1st Qu.:1.000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:21.00 1st Qu.:19.00 12+ yrs:116 Median :31.00 Median :2.000 Median :0.0000 Median :0.0000 Median :0.0000 Median :42.00 Median :36.00 Mean :31.50 Mean :2.093 Mean :0.5726 Mean :0.3347 Mean :0.5766 Mean :41.87 Mean :33.58 3rd Qu.:35.25 3rd Qu.:3.000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:62.25 3rd Qu.:48.25 Max. :44.00 Max. :6.000 Max. :2.0000 Max. :1.0000 Max. :2.0000 Max. :83.00 Max. :63.00 So still not sure how to solve the problem .... -- View this message in context: http://r.789695.n4.nabble.com/neural-net-tp4652927p4652984.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.