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    Appendix A: Special SAS Data Sets - Pg. 7597

    Appendix A Special SAS Data Sets Contents Introduction to Special SAS Data Sets Special SAS Data Sets . . . . . . . . TYPE=ACE Data Sets . . . . . TYPE=BOXPLOT Data Sets . TYPE=CHARTSUM Data Sets TYPE=CORR Data Sets . . . . TYPE=COV Data Sets . . . . . TYPE=CSSCP Data Sets . . . TYPE=DISTANCE Data Sets . TYPE=EST Data Sets . . . . . TYPE=FACTOR Data Sets . . TYPE=LINEAR Data Sets . . . TYPE=LOGISMOD Data Sets TYPE=MIXED Data Sets . . . TYPE=QUAD Data Sets . . . . TYPE=RAM Data Sets . . . . TYPE=SSCP Data Sets . . . . TYPE=TREE Data Sets . . . . TYPE=UCORR Data Sets . . . TYPE=UCOV Data Sets . . . . TYPE=WEIGHT Data Sets . . Definitional Formulas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7597 7601 7601 7601 7601 7601 7605 7605 7606 7606 7607 7608 7608 7608 7608 7609 7609 7610 7610 7611 7611 7611 Introduction to Special SAS Data Sets All SAS/STAT procedures create SAS data sets. Any table generated by a procedure can be saved to a data set by using the Output Delivery System (ODS), and many procedures also have syntax that enables you to save other statistics to data sets. Some of these data sets are organized according to certain conventions so that they can be read by a SAS/STAT procedure for further analysis. Such specially organized data sets are recognized by the TYPE= data set attribute.