NIR                   package:pls                   R Documentation

_M_u_l_t_i_v_a_r_i_a_t_e _D_a_t_a_s_e_t _o_f _N_I_R _S_p_e_c_t_r_a

_D_e_s_c_r_i_p_t_i_o_n:

     A training set consisting of 21 NIR spectra of PET yarns, measured
     at 268 wavelengths, and 21 corresponding densities.  A test set of
     7 samples is also provided.  Many thanks to Erik Swierenga.

_U_s_a_g_e:

     data(NIR)

_F_o_r_m_a_t:

     A data frame with components

     _X Numeric matrix of NIR measurements

     _y Numeric vector of densities

     _t_r_a_i_n Logical vector with 'TRUE' for the training samples and
          'FALSE' for the test samples

_S_o_u_r_c_e:

     Swierenga H., de Weijer A. P., van Wijk R. J., Buydens L. M. C.
     (1999) Strategy for constructing robust multivariate calibration
     models _Chemometrics and Intelligent Laboratoryy Systems_,
     *49*(1), 1-17.

