SURVEY OF SOFTWARE WITH MIXTURE EXPERIMENT CAPABILITIES n over the whole simplex (>0=1.2. Quality Technology. Infor accommodate in designing experiments over irregu- pab tware of th Tables 1.2,and 3 contain summaries of the in- linear constrints of the general form A1+A22++Axg+A0>0 (1 able ins inf imental design capabilities,while Table 2 contain are the most common forms of constraints on th mixture component proportions (Cornell (1990. inforntioneraionenodeigandotherdaa ber,hardware thesoferface,and A11+A22+.+Agg+A0=0 e blank.where: lity cor feature n Table ailable but obtain the software checs the con ming language consistency.and provides blank feature not available The component Transformations g However.some entries in the tables are ubers cates the types of transformations that can be im while others are references to footnotes that provide while U-pseudoco -1).(See Cornell (1990. Brief descriptions of the information provided in of ter The Constrained Region Points group indi references to pages of the book by Cornell (1990)o rguielougereaonrtemmobgthaLol cates whether or not each software package can gen- potnts (e.g.,extreme ve boundary of or inside a constrained mixture region an Such points s are often used s candidate points to der this group indicate the te the software can handle in generating points for the recoTnpoeh are can ac m number of comp computer and its available memory. The Mixture Designs group indicates the type (1990.pp.21-24)).simpler centroid (Cornell (1990 which of the have sig Vol.29,No.1.January 1997 Joumal of Quality Technology Reproduced with permission of the copyright owner.Further reproduction prohibited without permission. Reproduced with permission of the copyright owner. Further reproduction prohibited without permission