Page 29 - Jolliffe I. Principal Component Analysis
P. 29

xxviii
                                      First six eigenvalues for the correlation matrix, blood
                                 6.1
                                      chemistry data. ........................
                                 6.2  List of Tables                                       133
                                      First six eigenvalues for the covariance matrix, blood
                                      chemistry data. ........................             134
                                 6.3  First six eigenvalues for the covariance matrix, gas chro-
                                      matography data. ......................              135
                                 6.4  Subsets of selected variables, Alate adelges. . .......  146
                                 6.5  Subsets of selected variables, crime rates. . . .......  148
                                 7.1  Coefficients for the first four PCs: children’s
                                      intelligence tests. .......................          163
                                 7.2  Rotated factor loadings–four factors: children’s
                                      intelligence tests. .......................          163
                                 7.3  Correlations between four direct quartimin factors: chil-
                                      dren’s intelligence tests. ...................       164
                                 7.4  Factor loadings—three factors, varimax rotation: children’s
                                      intelligence tests. .......................          164

                                 8.1  Variation accounted for by PCs of predictor variables in
                                      monsoon data for (a) predictor variables,
                                      (b) dependent variable. ...................          174
                                 8.2  Correlation matrix for the pitprop data. . . . .......  192
                                 8.3  Principal component regression for the pitprop data: coef-
                                      ficients, variances, regression coefficients and t-statistics for
                                      each component. .......................              193
                                 8.4  Variable selection using various techniques on the pitprop
                                      data. (Each row corresponds to a selected subset with ×
                                      denoting a selected variable.) ................      194
                                 8.5  Variables used in the household formation example. . . .  195
                                 8.6  Eigenvalues of the correlation matrix and order of impor-
                                      tance in predicting y for the household
                                      formation data.  .......................             196

                                 9.1  Demographic variables used in the analysis of 46
                                      English counties. .......................            216
                                 9.2  Coefficients and variances for the first four PCs: English
                                      counties data. ........................              216
                                 9.3  Coefficients for the first two canonical variates in a canonical
                                      correlation analysis of species and environmental variables.  225

                                                                         2
                                                                             2
                                 10.1 Anatomical measurements: values of d , d , d 4i for the
                                                                         1i  2i
                                      most extreme observations. .................         243
   24   25   26   27   28   29   30   31   32   33   34