Linear Soft-Modeling: Introduction

摘要: This section is devoted to describing the main linear soft-modeling tools oriented description of variation two-way, multiway, and multiset data arrangements. The starting point (input information) for all methodologies presented a single set variable complexity, results obtained represent underlying sources (components factors) enclosed in raw measurements analyzed. reason why, very wide sense, methods this could be designed as factor analysis methods. Along line general denomination, word ‘factor’ term that may enclose concrete entities, such identifiable chemical components, environmental or biological variation, abstract contributions, directions which help find groups samples, relationships, behavior trends particular set.