Jolliffe I. Principal Component Analysis (2ed., Springer, 2002)(518s)

xxviiiList of Tables6.1 First six eigenvalues for the correlation matrix, bloodchemistry data. ........................ 1336.2 First six eigenvalues for the covariance matrix, bloodchemistry data. ........................ 1346.3 First six eigenvalues for the covariance matrix, gas chromatographydata. ...................... 1356.4 Subsets of selected variables, Alate adelges. ........ 1466.5 Subsets of selected variables, crime rates. . . ....... 1487.1 Coefficients for the first four PCs: children’sintelligence tests. ....................... 1637.2 Rotated factor loadings–four factors: children’sintelligence tests. ....................... 1637.3 Correlations between four direct quartimin factors: children’sintelligence tests. ................... 1647.4 Factor loadings—three factors, varimax rotation: children’sintelligence tests. ....................... 1648.1 Variation accounted for by PCs of predictor variables inmonsoon data for (a) predictor variables,(b) dependent variable. ................... 1748.2 Correlation matrix for the pitprop data. . . . ....... 1928.3 Principal component regression for the pitprop data: coefficients,variances, regression coefficients and t-statistics foreachcomponent........................ 1938.4 Variable selection using various techniques on the pitpropdata. (Each row corresponds to a selected subset with ×denoting a selected variable.) ................ 1948.5 Variables used in the household formation example. . . . 1958.6 Eigenvalues of the correlation matrix and order of importancein predicting y for the householdformation data. ....................... 1969.1 Demographic variables used in the analysis of 46English counties. ....................... 2169.2 Coefficients and variances for the first four PCs: Englishcounties data. ........................ 2169.3 Coefficients for the first two canonical variates in a canonicalcorrelation analysis of species and environmental variables. 22510.1 Anatomical measurements: values of d 2 1i , d2 2i , d 4i for themost extreme observations. ................. 243