function [testInfo, predictionInfo] = leastSquaresRegressorPredict(trainData, testData, classifierInfo, params); 
%A function to make predictions using least squares regression

if (nargin ~= 4)
    fprintf('%s\n', help(sprintf('%s', mfilename)));
    error('Incorrect number of inputs - see above usage instructions.');
end

[nameX, nameY] = getSpaceNames(params); 

testInfo = struct; 

tic; 
testInfo.predictedY = getDataFieldValue(testData, nameX)*classifierInfo.C;
predictionTime = toc; 

testInfo.rankings = sum(testInfo.predictedY, 2); 

if isfield(params, 'binaryLabels') & params.binaryLabels == 1
   testInfo.predictedY = nearestLabels(getDataFieldValue(params.labelData, 'Y'), testInfo.predictedY);
end

predictionInfo = struct; 
predictionInfo.predictionTime = predictionTime;