diff --git a/commons-math3-3.0-bin.tar.gz b/commons-math3-3.0-bin.tar.gz
new file mode 100644
index 0000000..4c642b2
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diff --git a/lib/commons-math3-3.0.jar b/lib/commons-math3-3.0.jar
new file mode 100644
index 0000000..ff84bd2
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diff --git a/src/net/woodyfolsom/cs6601/p2/BayesChef.java b/src/net/woodyfolsom/cs6601/p2/BayesChef.java
index 80c0d8a..466106a 100644
--- a/src/net/woodyfolsom/cs6601/p2/BayesChef.java
+++ b/src/net/woodyfolsom/cs6601/p2/BayesChef.java
@@ -2,6 +2,8 @@ package net.woodyfolsom.cs6601.p2;
 
 import java.io.File;
 
+import org.apache.commons.math3.stat.regression.SimpleRegression;
+
 public class BayesChef {
 
 	public static void main(String... args) {
@@ -19,10 +21,41 @@ public class BayesChef {
 		
 		System.out.println("Evaluating preference for remaining recipes.");
 		
+		//read survey prefs from survey.xml
+		double[][] surveyPrefs = new double[5][];
+		for (int i = 0; i < 5; i++) {
+			surveyPrefs[i] = new double[11];
+			for (int j = 0; j < 11; j++) {
+				surveyPrefs[i][j] = survey.getDiner(i).getRating(j);
+			}
+		}
+		
+		//generating stub evaluated preferences to test RMSE calculation
+		double[][] calculatedPrefs = new double[5][];
+		calculatedPrefs[0] = new double[] { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };
+		calculatedPrefs[1] = new double[] { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };
+		calculatedPrefs[2] = new double[] { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };
+		calculatedPrefs[3] = new double[] { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };
+		calculatedPrefs[4] = new double[] { 10.0, 10.0, 0.0, 10.0, 10.0, 4.0, 10.0, 10.0, 10.0, 10.0, 10.0 };
+		
 		System.out.println("RMSE for recipes #12-22 (calculated vs. surveyed preference):");
 		
 		for (int dinerIndex = 0; dinerIndex < survey.getDinerCount(); dinerIndex++) {
-			System.out.println("Diner # " + (dinerIndex + 1) + "...");
+			SimpleRegression simpleRegression = new SimpleRegression();
+			
+			for (int i = 0; i < 11; i++) {
+				simpleRegression.addData(i,calculatedPrefs[dinerIndex][i]);
+			}
+			double calculatedMSE = simpleRegression.getMeanSquareError();
+			simpleRegression.clear();
+			
+			for (int i = 0; i < 11; i++) {
+				simpleRegression.addData(i,surveyPrefs[dinerIndex][i]);
+			}
+			
+			double surveyMSE = simpleRegression.getMeanSquareError();
+			
+			System.out.println("Diner # " + (dinerIndex + 1) + ": " + calculatedMSE + " vs. "+ surveyMSE);
 		}
 	}
 }