function [dat,ntrain,ntest,Xp,xname]=dataload(exm,dfold,randoms)

if exm==1
xname=['Predicting the activities of Pyrimidines']; 
Xp=27;                        % target variable is 27th variable
dat=load(['pyrim.data']);

elseif exm==2
xname=['Predicting the rise time of a servomechanism']; 
Xp=5; 
dat=load(['servo.data']);

elseif exm==3
xname=['Predicting the price of an auto']; 
Xp=16;
dat=load(['autoprice.data']);

elseif exm==4
xname=['Predicting Relative CPU Performance ']; 
Xp=7; 
dat=load(['cpu.data']);
dat=dat(:,1:7);

elseif exm==5
xname=['Predicting the auto mpg (gas consumption)']; 
Xp=8; 
dat=load(['autompg.data']);


elseif exm==8
xname=['assessing GcLearn for training data set'];
Xp=1; 
dat=load(['traindata.txt']);

elseif exm==9
xname=['Predicting the target variable']; 
Xp=0;                          % please specify which is target variable
dat=load('mydatafile.data');  % your data file 

end

%  data are divided into 'dfold' training and test sets
[ntrain,ntest]=datatraintest(dat,randoms,dfold);