function [rv] = regress_svr_fw_te(model,Xtest)
% fit Xtest based on the trained MODEL
%	rv : predicted values for Xtest

% Please refer to Ke Yan et al., Improving the transfer ability of 
% prediction models for electronic noses, Sensors and Actuators	B: Chemical, 2015
%	Copyright 2015 YAN Ke, Tsinghua Univ. http://yanke23.tk, xjed09@gmail.com

[~,~, rv] = predict(zeros(size(Xtest,1),1),	sparse(Xtest), model, '-q');

end