REBUS (REsponse-based Unit Segmentation) approach with local models Possibility of choosing a different number of dimensions per each block Estimation of higher order dimensions via external deflation (very useful for multi-block data analysis) Location parameters when working with raw manifest variables

Loadings (unstandardized) when working with raw manifest variables Nonlinear relationships between latent variable scores via the non linear regression options commonly available 'Modeling data' module of XLSTAT. PLS Confirmatory Analysis (very useful for multi-block data analysis) Effect size (f2) for explanatory latent variables in structural equations Path coefficients in presence of multicollinearity between latent variables Outer weights for multidimensional (formative) blocks Full-featured PLS regression module for the estimation of: PLS REGRESSION MODULE (very useful for dealing with multidimensionality, multicollinearity, missing data, scarceness of samples as compared to variables): Display of path coefficients for each bootstrap resample

Display of standardized loadings for each bootstrap resample Confidence intervals for indirect effects between latent variables (very useful for testing mediating effects) When asking latent variables scores in the original scale (normalized weights): ipsative means and renormalization The only software that allows using the PLS approach (both PLS Path modeling and PLS regression) without leaving Microsoft Excel: NEW and most advanced features of the XLSTAT module for PLS Path Modeling (XLSTAT-PLSPM, version 2010.4), XLSTAT-PLSPM software: New Features in version 2010.4 - JUST RELEASED! I am pleased to announce the most recent news related to the world of PLS (Partial Least Squares):ġ) New features of XLSTAT-PLSPM software - JUST RELEASED!Ģ) Establishment of a Scientific PLS Award (1,000 Euros) Prossimo messaggio: Statistica&Applicazioni - Vol.Messaggio precedente: Interruzione del servizio.PLS (Partial Least Squares) News: XLSTAT-PLSPM software + Scientific Award + PLS Handbook on YouTube Vincenzo Esposito Vinzi vinzi a

PLS (Partial Least Squares) News: XLSTAT-PLSPM software + Scientific Award + PLS Handbook on YouTube

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