MODDE 7.0 software

Forward step-wise MLR [24] was used to analyze the data obtained from the solubility investigations that follow. To compute Q2, we used MODDE software [25]. The results from the study reported in [1] are summarized in Eq. (2) ... 

Modde 4.0, Graphical Software for Design of Experiments, Umetri AB, Box 7960, S-907 19 Umea, Sweden, 1997. 

The robustness tests described in references 20 and 69-92 used an experimental design approach, but often not all information is provided to repeat. Several analysts rely on software packages to set up and interpret a robustness test. Applied software packages are Modde... 

Table 14 shows results obtained for every formula development according to MODDE 4.0 software. The collected experimental data were fitted by a multilinear regression (MLR) model with which several responses can be dealt with simultaneously to provide an overview of how all the factors affect all the responses. The responses of the model, R2 and Q2 values, were over 0.99 and 0.93 for tm% and 0.98 and 0.89 for /30%, respectively, implying that the data fitted well with the model. Here, R2 is the fraction of the variation of the response that can be modeled and Q2 is the fraction of the variation of the response that can be predicted by the model. The relationship between a response y and the variables xh xh... can be described by the polynomial ... 

In another study, Kempe and Kempe159 employed multivariate data analysis (Modde 6.0 software, Umetrics, Umea, Sweden) for the optimization of monomer and cross-linker ratios in design of polymer specific for propranolol. 

Mijangos et al.160 used chemometrics (MODDE 6.0 software, Umetrics, Sweden) to optimize several parameters such as concentration of initiator (l,T-azobis(cyclohexane-l-carbonitrile) and 2,2-dimethoxy-2-phenylacetophenone) and polymerization time required for design of high-performance MIP for ephedrine. A small set of (-) ephedrine-imprinted... 

Tables of two-level factorial designs can be found in most textbooks of DOE. A good source is also NIST SEMATECH e-Handbook of Statistical Methods (NIST SEMATCH). Another way to create such tables is to use DOE-software e.g. (JMP, MODDE, MiniTab,...). It is also very easy to create tables of two-level factorial designs in any spreadsheet program. For example in Excel, you can simply enter the somewhat hideous formula...

Multiple Linear Regression or Partial Linear Regression). You need statistical design software to perform the regression, e.g., Modde 6.0 by Umetrics AB, Umea, Sweden. 

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