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Final equations were fitted using initial parameter estimates derived using non linear least square modeling and assuming SI was constant over time.
Within the approach we have tested and compared three different criteria commonly used in the Partial Least Square modeling paradigm for variable selection; loading weights, regression coefficients and variable importance on projections.
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Today, however, I look out my office window and see Campus Martius Park, a bustling square modeled after an Italian piazza and completed in 2004.
Data were analysed using descriptive, comparative statistics and multivariate partial least square modelling.
This paper focuses on the modification of the PLS (partial least squares) modeling.
Laptop is an IBM T42: a stripped-down, strangely square model that was the standard issue at my university tech store.
Generalised least square models.
Index data was analysed using linear mixed models (LMM) and generalised least square models (GLS).
The basic ordinary least square model is given by Eq. 2.
Table 3 summarizes the R-ray parameters for the open area/large square models.
Weighted least square models may be used to incorporate survey weights (or the weight from propensity score weighting).
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