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白酒的主成分分析方法结果: ThePRINCOMPProcedure Observations28 Variables8 SimpleStatistics x5x16x18x20 Mean0.62516660610.84321499630.89125507410.6775602494 StD0.18380199230.09806603210.07447639420.1879772812 SimpleStatistics x22x23x28x30 Mean0.87968620090.39551139110.88514632050.6515653645 StD0.07054490490.19265814580.07587394200.2082699597 CorrelationMatrix x5x16x18x20x22x23x28x30 x5x51.00000.29440.4547-.23120.2769-.36340.04930.1907 x16x160.29441.00000.84590.04240.6180-.54010.22630.3801 x18x180.45470.84591.0000-.12460.6658-.66550.16770.3806 x20x20-.23120.0424-.12461.0000-.09010.20990.29380.3147 x22x220.27690.61800.6658-.09011.0000-.45240.26540.3919 x23x23-.3634-.5401-.66550.2099-.45241.0000-.1997-.4373 x28x280.04930.22630.16770.29380.2654-.19971.00000.8584 x30x300.19070.38010.38060.31470.3919-.43730.85841.0000 EigenvaluesoftheCorrelationMatrix EigenvalueDifferenceProportionCumulative 13.597453061.802507430.44970.4497 21.794945630.926685870.22440.6740 30.868259760.196539240.10850.7826 40.671720520.144785680.08400.8665 50.526934840.193983770.06590.9324 60.332951070.211700720.04160.9740 70.121250350.034765600.01520.9892 80.086484750.01081.0000 11:15Thursday,September8,20122 ThePRINCOMPProcedure Eigenvectors Prin1Prin2Prin3Prin4Prin5Prin6Prin7Prin8 x5x50.262326-.275412-.5361510.7206080.166453-.060345-.130402-.015684 x16x160.436197-.0945680.4358280.095255-.0554780.515226-.5261280.237535 x18x180.464602-.2125270.2265290.080655-.0751060.2349080.729075-.297966 x20x20-.0106000.5531470.4535680.563751-.188511-.336448-.006378-.146975 x22x220.402849-.0864340.241309-.2129710.649048-.544390-.094631-.008732 x23x23-.3992630.1646850.1493580.2403550.6886720.4301250.2246440.153778 x28x280.2643230.554347-.332891-.1948850.1728230.284437-.189526-.572140 x30x300.3652200.471353-.272401-.078881-.051360-.0157680.2815200.694174 红酒的主成分分析方法: 11:29Thursday,September8,20121 ThePRINCOMPProcedure Observations27 Variables10 SimpleStatistics x2x6x10x11x12 Mean0.79270010180.27713710