attachment:bmfit.spo of FAQ/spssmix

Attachment 'bmfit.spo'

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ÿÿNavRoot(OutputÿÿNavHead()Constrained Nonlinear Regression Analysis)Constrained Nonlinear Regression AnalysisÿÿNavTitleéÿÿÿ(Title)Constrained Nonlinear Regression Analysisíÿÿÿ¼"ArialalPË{\rtf1\ansi\ansicpg1252\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}}
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\viewkind4\uc1\pard\cf1\lang2057\b\f0\fs28 Constrained Nonlinear Regression Analysis\par
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ÿÿNavNote[üÿÿ(Notes)Constrained Nonlinear Regression AnalysisÿÿPTPivotControllerÿÿÿÿÿÿïÿddddÿÿPVPivotViewÿÿPMPivotModelÿÿNDimensional__DspCellÿÿIndexedCollection
ÿÿDspCellÿÿ     DspNumberôë  B23-JUL-2009 15:37:34)( )(ÿÿC:\Documents and Settings\peterw\Desktop\My Documents\My Documents2\BARNEY MIXTURES\for Barney.sav                                                                                                                                                             )(<none>)(<none>)(<none>),(d@160)(3User-defined missing values are treated as missing.)(¤Statistics are based on cases with no missing values for any variable used. Predicted values are calculated for cases with missing values on the dependent variable.)(ÿÕmodel program mean1=0 mean2=3 sd1=2 sd2=2 ratio=0.5 c=0.
compute xa = abs(xl-xc).
compute xb = abs(xu-xc).
compute h1 = (0.398942/sd1)*exp(-(((xl-mean1)**2)/(2*sd1**2))).
compute h2 = (0.398942/sd1)*exp(-(((xc-mean1)**2)/(2*sd1**2))).
compute h3 = (0.398942/sd1)*exp(-(((xu-mean1)**2)/(2*sd1**2))).
compute h4 = (0.398942/sd2)*exp(-(((xl-mean2)**2)/(2*sd2**2))).
compute h5 = (0.398942/sd2)*exp(-(((xc-mean2)**2)/(2*sd2**2))).
compute h6 = (0.398942/sd2)*exp(-(((xu-mean2)**2)/(2*sd2**2))).
compute predbi = ratio*(0.5*(h1+h2)*xa + 0.5*(h2+h3)*xb)
 + (1-ratio)*(0.5*(h4+h5)*xa + 0.5*(h5+h6)*xb)+c.
cnlr prop /pred = predbi
 /bounds sd1 gt 0.0001;
         sd2 gt 0.0001;
         1.0 ge ratio ge 0.0
 /save = predbi residbi.
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