this study tries to expand the understanding of the relationship between transformational leadership and organizational innovation at the organizational level. this research proposes a conceptual framework to explain the components of transformational leadership while focusing on the relationship between each component and organizational innovation. a sample of 219 managers from 63 companies in...

Partial least squares (PLS) regression combines dimensionality reduction and prediction using a latent variable model. It provides better predictive ability than principle component analysis by taking into account both the independent and response variables in the dimension reduction procedure. However, PLS suffers from over-fitting problems for few samples but many variables. We formulate a ne...

This presented paper deals with application of three multivariate calibration methods methods for simultaneous spectrophotometric determination of two active substances in combined pharmaceutical formulation, composed of rutin (RU) and ascorbic acid (AA). The multivariate methods are classical least squares (CLS), principal component regression (PCR) and partial least squares (PLS). The results...

Phenolic compounds in 46 Spanish cider apple varieties were determined by RP-HPLC with direct injection. Several pattern recognition procedures, including principal component analysis (PCA), linear discriminant analysis (LDA), and partial least squares (PLS-1), were applied to the data in an attempt to classify the samples into bitter and nonbitter categories. Reliable decision rules were obtai...

A method for the simultaneous spectrophotometric determination of nickel, cobalt and copper based on theformation of their complexes with 2-(2-Thiazolylazo)-p-Cresol (TAC) in micellar media of Triton X-100 isproposed. The absorbance spectra were recorded in the range of 500 to 800 nm. The linear concentrationrange for nickel, cobalt and copper in solution calibration sets were 0.05–1.80, 0.10–6...

Microarray data usually contain missing values, thus estimating these missing values is an important preprocessing step. This paper proposes an estimation method of missing values based on Partial Least Squares (PLS) regression. The method is feasible for microarray data, because of the characteristics of PLS regression. We compared our method with three methods, including ROWaverage, KNNimpute...

We provide an overview of how the underlying philosophy of chemometrics is integrated throughout metabonomic studies. Four steps are demonstrated: (1) definition of the aim, (2) selection of objects, (3) sample preparation and characterization, and (4) evaluation of the collected data. This includes the tools applied for linear modeling, for example, Statistical Experimental Design (SED), Princ...

the potential of near infrared reflectance spectroscopy (nirs) as a fast method to predict the crude protein (cp) and moisture (m) content in fishmeal by scanning spectra between 1000 and 2500 nm using multivariate regression technique based on partial least squares (pls) was evaluated. the coefficient of determination in calibration (r2c) and standard error of calibration (sec) were 0.95 and 1...