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Rotated Component Matrixa Component 1 2 3 Cakes_interest .948 .069 .004 Doughnuts_interest .929 .001 .042 Cookies_interest .907 .097 -.027 Bacon_cupcakes .046 .836 .136 Jumbo_cupcakes_interest -.007
Rotated Component Matrixa Component 1 2 3 Cakes_interest .948 .069 .004 Doughnuts_interest .929 .001 .042 Cookies_interest .907 .097 -.027 Bacon_cupcakes .046 .836 .136 Jumbo_cupcakes_interest -.007 .807 .024 Sandwiches_interest .037 -.631 .266 Couscous_interest -.058 -.236 .017 Mini_cupcakes_interest -.147 .128 .792 Sugarfree_interest .166 -.209 .736 Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. a Rotation converged in 4 iterations. How do I group the out put from a SPCC factor analsysis
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Algebra 1, Volume 2
Authors: Edward B. Burger, Juli K. Dixon, Steven J. Leinwand, Timothy D. Kanold
Student Edition
0544368185, 978-0544368187
