Carry out a principal component analysis on the hematology data of Table 4.3. Use both S and R. Which do you think is more appropriate here? Show the percent of variance explained. Based on the average eigenvalue or a scree plot, decide how many components to retain. Can you interpret the components of either S or R? Does the large variance of y3 affect the pattern of the components of S?

4100 5000 32 39 0 8 8 9 19 8 29 7 36 Table 4.3. Hematology Data Observation Number 46 45 4567890 (continued) THE MULTIVARIATE NORMAL DISTRIBUTION Table 4.3. (Continued) Observation 110 223319DB48KBN 9297205373413322884623120528204 16 |26282426259887485720596873 731n5022220 20 20 26 0 22 1 2 20 35 8 45 45 45 4 4100 5000 32 39 0 8 8 9 19 8 29 7 36 Table 4.3. Hematology Data Observation Number 46 45 4567890 (continued) THE MULTIVARIATE NORMAL DISTRIBUTION Table 4.3. (Continued) Observation 110 223319DB48KBN 9297205373413322884623120528204 16 |26282426259887485720596873 731n5022220 20 20 26 0 22 1 2 20 35 8 45 45 45 4