Structure-retention relationship study of arylpiperazines by linear multivariate modeling

Journal of Separation Science

Volumn 33, Issue 17-18, 2010, Pages 2619-2628

  Trifković, Jelena ^a   Andrić, Filip ^a   Ristivojević, Petar ^a   Andrić, Deana ^a   Tešić, Živoslav Lj ^a   Milojković Opsenica, Dušanka M ^a  

^a UNIVERSITY OF BELGRADE   (Serbia)

Author keywords

Multiple linear regression; Partial least squares; Principal component analysis; Principal component regression; Quantitative structure retention relationship

Indexed keywords

ARYLPIPERAZINES; CONNECTIVITY INDICES; CROSS VALIDATION; DESCRIPTORS; HYDROGEN BOND ACCEPTORS; HYDROGEN BOND DONORS; HYDROPHILIC LIPOPHILIC BALANCE; HYDROPHILIC SURFACES; LUMO ENERGY; MOLECULAR CHARACTERISTICS; MULTIPLE LINEAR REGRESSIONS; PARTIAL LEAST SQUARES; PLS MODELS; PLS REGRESSION; POLAR SURFACE AREAS; PREDICTED RESIDUAL ERROR SUM OF SQUARES; PRINCIPAL COMPONENT REGRESSION; QUANTITATIVE STRUCTURE-RETENTION RELATIONSHIP; ROOT MEAN SQUARE ERRORS; STANDARD ERRORS; STATISTICAL PERFORMANCE; TOPOLOGICAL DESCRIPTORS;

BLOCK CODES; CALIBRATION; ERRORS; HYDROGEN; HYDROGEN BONDS; HYDROPHILICITY; LINEAR REGRESSION; MEAN SQUARE ERROR; SULFUR COMPOUNDS; SURFACE TENSION; TOPOLOGY;

PRINCIPAL COMPONENT ANALYSIS;

PIPERAZINE DERIVATIVE;

ARTICLE; CHEMICAL STRUCTURE; HYDROGEN BOND; HYDROPHILICITY; LIPOPHILICITY; MULTIPLE LINEAR REGRESSION ANALYSIS; MULTIVARIATE ANALYSIS; PARTIAL LEAST SQUARES REGRESSION; PRINCIPAL COMPONENT ANALYSIS; PRINCIPAL COMPONENT REGRESSION; PRIORITY JOURNAL; STRUCTURE RETENTION RELATIONSHIP; SURFACE TENSION; THIN LAYER CHROMATOGRAPHY;

EID: 77956942643     PISSN: 16159306     EISSN: 16159314     Source Type: Journal    
DOI: 10.1002/jssc.201000200     Document Type: Article

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